Collections: - Name: SCNet Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 8x NVIDIA V100 GPUs Architecture: - FPN - ResNet - SCNet Paper: https://arxiv.org/abs/2012.10150 README: configs/scnet/README.md Models: - Name: scnet_r50_fpn_1x_coco In Collection: SCNet Config: configs/scnet/scnet_r50_fpn_1x_coco.py Metadata: Training Memory (GB): 7.0 inference time (s/im): 0.16129 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.5 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 39.2 Weights: https://drive.google.com/file/d/1K5_8-P0EC43WZFtoO3q9_JE-df8pEc7J/view?usp=sharing - Name: scnet_r50_fpn_20e_coco In Collection: SCNet Config: configs/scnet/scnet_r50_fpn_20e_coco.py Metadata: Training Memory (GB): 7.0 inference time (s/im): 0.16129 Epochs: 20 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 44.5 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 40.0 Weights: https://drive.google.com/file/d/15VGLCt5-IO5TbzB4Kw6ZyoF6QH0Q511A/view?usp=sharing - Name: scnet_r101_fpn_20e_coco In Collection: SCNet Config: configs/scnet/scnet_r101_fpn_20e_coco.py Metadata: Training Memory (GB): 8.9 inference time (s/im): 0.17241 Epochs: 20 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 45.8 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 40.9 Weights: https://drive.google.com/file/d/1aeCGHsOBdfIqVBnBPp0JUE_RSIau3583/view?usp=sharing - Name: scnet_x101_64x4d_fpn_20e_coco In Collection: SCNet Config: configs/scnet/scnet_x101_64x4d_fpn_20e_coco.py Metadata: Training Memory (GB): 13.2 inference time (s/im): 0.20408 Epochs: 20 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 47.5 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 42.3 Weights: https://drive.google.com/file/d/1YjgutUKz4TTPpqSWGKUTkZJ8_X-kyCfY/view?usp=sharing