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Collections: |
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- Name: ImVoteNet |
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Metadata: |
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Training Data: SUNRGBD |
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Training Techniques: |
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- AdamW |
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Training Resources: 8x TITAN Xp |
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Architecture: |
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- Faster R-CNN |
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- VoteNet |
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- Feature Pyramid Network |
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Paper: |
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URL: https://arxiv.org/abs/2001.10692 |
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Title: 'ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes' |
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README: configs/imvotenet/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/imvotenet.py#L56 |
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Version: v0.12.0 |
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Models: |
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- Name: imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class |
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In Collection: ImVoteNet |
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Config: configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py |
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Metadata: |
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Training Memory (GB): 2.1 |
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Results: |
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- Task: Object Detection |
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Dataset: SUNRGBD-2D |
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Metrics: |
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AP@0.5: 62.70 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/imvotenet/imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class/imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class_20210819_225618-62eba6ce.pth |
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- Name: imvotenet_stage2_16x8_sunrgbd-3d-10class |
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In Collection: ImVoteNet |
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Config: configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py |
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Metadata: |
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Training Memory (GB): 9.4 |
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Results: |
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- Task: 3D Object Detection |
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Dataset: SUNRGBD-3D |
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Metrics: |
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AP@0.25: 64.48 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/imvotenet/imvotenet_stage2_16x8_sunrgbd-3d-10class/imvotenet_stage2_16x8_sunrgbd-3d-10class_20210819_192851-1bcd1b97.pth |
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