OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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249 lines
9.4 KiB
249 lines
9.4 KiB
Collections: |
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- Name: RF-Next |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- RF-Next |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- RF-Next |
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Paper: |
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URL: http://mftp.mmcheng.net/Papers/22TPAMI-ActionSeg.pdf |
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Title: "RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks" |
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README: configs/rfnext/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/mmdet/utils/rfnext.py |
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Version: v2.27.0 |
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Models: |
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- Name: rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_convnext-t_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco.py |
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Metadata: |
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Training Memory (GB): 11.9 |
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Epochs: 36 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (search) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 50.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k/rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k-f47db42b.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext-t_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco.py |
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Metadata: |
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Training Memory (GB): 9.4 |
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Epochs: 36 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (fixed_single_branch) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 50.6 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k-71aeb991.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py |
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Metadata: |
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Training Memory (GB): 12.9 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (search) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.2 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco-7b9c7885.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py |
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Metadata: |
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Training Memory (GB): 8.4 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (fixed_single_branch) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.6 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco-682f121d.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco.py |
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Metadata: |
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Training Memory (GB): 11.9 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (search) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 47.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco-e17510a0.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco.py |
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Metadata: |
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Training Memory (GB): 9.3 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (fixed_single_branch) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 46.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 40.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco-e22d5257.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 10.3 |
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Epochs: 12 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (search) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 39.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco-dc8fd5de.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 8.3 |
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Epochs: 12 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (fixed_single_branch) |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 38.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 36.8 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco-7b25d72e.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco.py |
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Metadata: |
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Training Memory (GB): 4.3 |
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Epochs: 12 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (search) |
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Results: |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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box AP: 44.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco-34a893a0.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md |
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- Name: rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco |
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In Collection: RF-Next |
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Config: configs/rfnext/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco.py |
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Metadata: |
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Training Memory (GB): 3.5 |
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Epochs: 12 |
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Training Data: COCO |
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Training Techniques: |
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RF-Next (fixed_single_branch) |
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Results: |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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box AP: 44.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco-52181d5b.pth |
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Paper: |
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URL: https://arxiv.org/pdf/2206.06637.pdf |
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Title: 'RF-Next: Efficient Receptive Field Search for CNN' |
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README: configs/rfnext/README.md
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