SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency

Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan 0007, Zhiqiang He 0002. SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023. pages 15539-15547, IEEE, 2023. [doi]

@inproceedings{LiuZWZTS0023,
  title = {SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency},
  author = {Yang Liu and Yao Zhang and Yixin Wang and Yang Zhang and Jiang Tian and Zhongchao Shi and Jianping Fan 0007 and Zhiqiang He 0002},
  year = {2023},
  doi = {10.1109/CVPR52729.2023.01491},
  url = {https://doi.org/10.1109/CVPR52729.2023.01491},
  researchr = {https://researchr.org/publication/LiuZWZTS0023},
  cites = {0},
  citedby = {0},
  pages = {15539-15547},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0129-8},
}