Collections: - Name: DyHead Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 4x T4 GPUs Architecture: - ATSS - DyHead - FPN - ResNet - Deformable Convolution - Pyramid Convolution Paper: URL: https://arxiv.org/abs/2106.08322 Title: 'Dynamic Head: Unifying Object Detection Heads with Attentions' README: configs/dyhead/README.md Code: URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/mmdet/models/necks/dyhead.py#L130 Version: v2.22.0 Models: - Name: atss_r50-caffe_fpn_dyhead_1x_coco In Collection: DyHead Config: configs/dyhead/atss_r50-caffe_fpn_dyhead_1x_coco.py Metadata: Training Memory (GB): 5.4 inference time (ms/im): - value: 75.7 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 42.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_for_reproduction_1x_coco/atss_r50_fpn_dyhead_for_reproduction_4x4_1x_coco_20220107_213939-162888e6.pth - Name: atss_r50_fpn_dyhead_1x_coco In Collection: DyHead Config: configs/dyhead/atss_r50_fpn_dyhead_1x_coco.py Metadata: Training Memory (GB): 4.9 inference time (ms/im): - value: 73.1 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.3 Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_4x4_1x_coco/atss_r50_fpn_dyhead_4x4_1x_coco_20211219_023314-eaa620c6.pth - Name: atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco In Collection: DyHead Config: configs/dyhead/atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco.py Metadata: Training Memory (GB): 58.4 Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 56.2 Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco/atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco_20220509_100315-bc5b6516.pth