Collections:
  - Name: Label Assignment Distillation
    Metadata:
      Training Data: COCO
      Training Techniques:
        - Label Assignment Distillation
        - SGD with Momentum
        - Weight Decay
      Training Resources: 2x V100 GPUs
      Architecture:
        - FPN
        - ResNet
    Paper:
      URL: https://arxiv.org/abs/2108.10520
      Title: 'Improving Object Detection by Label Assignment Distillation'
    README: configs/lad/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.19.0/mmdet/models/detectors/lad.py#L10
      Version: v2.19.0

Models:
  - Name: lad_r101_paa_r50_fpn_coco_1x
    In Collection: Label Assignment Distillation
    Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
    Metadata:
      Training Memory (GB): 12.4
      Epochs: 12
    Results:
    - Task: Object Detection
      Dataset: COCO
      Metrics:
        box AP: 43.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth
  - Name: lad_r50_paa_r101_fpn_coco_1x
    In Collection: Label Assignment Distillation
    Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
    Metadata:
      Training Memory (GB): 8.9
      Epochs: 12
    Results:
    - Task: Object Detection
      Dataset: COCO
      Metrics:
        box AP: 41.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth