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README.md | 1 year ago | |
metafile.yml | 1 year ago | |
sparse_rcnn_r50_fpn_1x_coco.py | 1 year ago | |
sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py | 1 year ago | |
sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco.py | 1 year ago | |
sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py | 1 year ago | |
sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco.py | 1 year ago |
@article{peize2020sparse,
title = {{SparseR-CNN}: End-to-End Object Detection with Learnable Proposals},
author = {Peize Sun and Rufeng Zhang and Yi Jiang and Tao Kong and Chenfeng Xu and Wei Zhan and Masayoshi Tomizuka and Lei Li and Zehuan Yuan and Changhu Wang and Ping Luo},
journal = {arXiv preprint arXiv:2011.12450},
year = {2020}
}
Model | Backbone | Style | Lr schd | Number of Proposals | Multi-Scale | RandomCrop | box AP | Config | Download |
---|---|---|---|---|---|---|---|---|---|
Sparse R-CNN | R-50-FPN | pytorch | 1x | 100 | False | False | 37.9 | config | model | log |
Sparse R-CNN | R-50-FPN | pytorch | 3x | 100 | True | False | 42.8 | config | model | log |
Sparse R-CNN | R-50-FPN | pytorch | 3x | 300 | True | True | 45.0 | config | model | log |
Sparse R-CNN | R-101-FPN | pytorch | 3x | 100 | True | False | 44.2 | config | model | log |
Sparse R-CNN | R-101-FPN | pytorch | 3x | 300 | True | True | 46.2 | config | model | log |
We observe about 0.3 AP noise especially when using ResNet-101 as the backbone.
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