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Collections: |
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- Name: Mask2Former |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- AdamW |
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- Weight Decay |
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Training Resources: 8x A100 GPUs |
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Architecture: |
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- Mask2Former |
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Paper: |
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URL: https://arxiv.org/pdf/2112.01527 |
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Title: 'Masked-attention Mask Transformer for Universal Image Segmentation' |
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README: configs/mask2former/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.23.0/mmdet/models/detectors/mask2former.py#L7 |
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Version: v2.23.0 |
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Models: |
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- Name: mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 19.1 |
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Iterations: 368750 |
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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: 47.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.5 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 54.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic_20220329_225200-c7b94355.pth |
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- Name: mask2former_r101_lsj_8x2_50e_coco |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_r101_lsj_8x2_50e_coco.py |
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Metadata: |
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Training Memory (GB): 15.5 |
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Iterations: 368750 |
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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: 46.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r101_lsj_8x2_50e_coco/mask2former_r101_lsj_8x2_50e_coco_20220426_100250-c50b6fa6.pth |
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- Name: mask2former_r101_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_r101_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 16.1 |
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Iterations: 368750 |
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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: 45.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 42.4 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 52.4 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r101_lsj_8x2_50e_coco-panoptic/mask2former_r101_lsj_8x2_50e_coco-panoptic_20220329_225104-c54e64c9.pth |
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- Name: mask2former_r50_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 13.9 |
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Iterations: 368750 |
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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: 44.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.9 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 51.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic/mask2former_r50_lsj_8x2_50e_coco-panoptic_20220326_224516-11a44721.pth |
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- Name: mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 15.9 |
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Iterations: 368750 |
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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: 46.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 43.4 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 53.4 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic_20220326_224553-fc567107.pth |
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- Name: mask2former_r50_lsj_8x2_50e_coco |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_r50_lsj_8x2_50e_coco.py |
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Metadata: |
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Training Memory (GB): 13.7 |
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Iterations: 368750 |
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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: 45.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 42.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco/mask2former_r50_lsj_8x2_50e_coco_20220506_191028-8e96e88b.pth |
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- Name: mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 21.1 |
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Iterations: 737500 |
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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: 52.2 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 48.5 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 57.6 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic_20220407_104949-d4919c44.pth |
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- Name: mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 25.8 |
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Iterations: 368750 |
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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: 50.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 46.3 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 56.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic/mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic_20220329_230021-3bb8b482.pth |
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- Name: mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic.py |
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Metadata: |
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Training Memory (GB): 26.0 |
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Iterations: 368750 |
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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: 48.2 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.9 |
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- Task: Panoptic Segmentation |
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Dataset: COCO |
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Metrics: |
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PQ: 55.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic/mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic_20220331_002244-c149a9e9.pth |
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- Name: mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco.py |
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Metadata: |
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Training Memory (GB): 15.3 |
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Iterations: 368750 |
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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: 47.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 44.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco_20220508_091649-4a943037.pth |
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- Name: mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco |
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In Collection: Mask2Former |
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Config: configs/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco.py |
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Metadata: |
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Training Memory (GB): 18.8 |
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Iterations: 368750 |
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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: 49.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 46.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco_20220504_001756-743b7d99.pth |
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