Collections: - Name: Guided Anchoring Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 8x V100 GPUs Architecture: - FPN - Guided Anchoring - ResNet Paper: URL: https://arxiv.org/abs/1901.03278 Title: 'Region Proposal by Guided Anchoring' README: configs/guided_anchoring/README.md Code: URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/dense_heads/ga_retina_head.py#L10 Version: v2.0.0 Models: - Name: ga_rpn_r50_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 5.3 inference time (ms/im): - value: 63.29 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Region Proposal Dataset: COCO Metrics: AR@1000: 68.4 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco/ga_rpn_r50_caffe_fpn_1x_coco_20200531-899008a6.pth - Name: ga_rpn_r101_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 7.3 inference time (ms/im): - value: 76.92 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Region Proposal Dataset: COCO Metrics: AR@1000: 69.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco/ga_rpn_r101_caffe_fpn_1x_coco_20200531-ca9ba8fb.pth - Name: ga_rpn_x101_32x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 8.5 inference time (ms/im): - value: 100 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Region Proposal Dataset: COCO Metrics: AR@1000: 70.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco/ga_rpn_x101_32x4d_fpn_1x_coco_20200220-c28d1b18.pth - Name: ga_rpn_x101_64x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 7.1 inference time (ms/im): - value: 133.33 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Region Proposal Dataset: COCO Metrics: AR@1000: 70.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco/ga_rpn_x101_64x4d_fpn_1x_coco_20200225-3c6e1aa2.pth - Name: ga_faster_r50_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 5.5 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 39.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco/ga_faster_r50_caffe_fpn_1x_coco_20200702_000718-a11ccfe6.pth - Name: ga_faster_r101_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_faster_r101_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 7.5 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_r101_caffe_fpn_1x_coco/ga_faster_r101_caffe_fpn_1x_coco_bbox_mAP-0.415_20200505_115528-fb82e499.pth - Name: ga_faster_x101_32x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_faster_x101_32x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 8.7 inference time (ms/im): - value: 103.09 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_x101_32x4d_fpn_1x_coco/ga_faster_x101_32x4d_fpn_1x_coco_20200215-1ded9da3.pth - Name: ga_faster_x101_64x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_faster_x101_64x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 11.8 inference time (ms/im): - value: 136.99 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.9 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_x101_64x4d_fpn_1x_coco/ga_faster_x101_64x4d_fpn_1x_coco_20200215-0fa7bde7.pth - Name: ga_retinanet_r50_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 3.5 inference time (ms/im): - value: 59.52 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 36.9 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco/ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth - Name: ga_retinanet_r101_caffe_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 5.5 inference time (ms/im): - value: 77.52 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 39.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_r101_caffe_fpn_1x_coco/ga_retinanet_r101_caffe_fpn_1x_coco_20200531-6266453c.pth - Name: ga_retinanet_x101_32x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 6.9 inference time (ms/im): - value: 94.34 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x_coco/ga_retinanet_x101_32x4d_fpn_1x_coco_20200219-40c56caa.pth - Name: ga_retinanet_x101_64x4d_fpn_1x_coco In Collection: Guided Anchoring Config: configs/guided_anchoring/ga_retinanet_x101_64x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 9.9 inference time (ms/im): - value: 129.87 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (800, 1333) Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.3 Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_x101_64x4d_fpn_1x_coco/ga_retinanet_x101_64x4d_fpn_1x_coco_20200226-ef9f7f1f.pth