前言
一共搜集了65篇2D目标检测论文,涉及:通用目标检测、旋转目标检测、Few-shot/自监督/半监督/无监督目标检测等方向。
作者:Amusi | 来源:CVer
CVer 正式盘点CVPR 2021上各个方向的工作,本篇是热度依然很高的2D目标检测论文大盘点,之前已分享:
最新!CVPR 2021 视觉Transformer论文大盘点(43篇)
最新!CVPR 2021 OCR领域论文大盘点(22篇)
关于更多CVPR 2021的论文和开源代码,可见下面链接:
CVPR2021 Papers with Code
CVPR 2021 2D目标检测论文(65篇)
Amusi 一共搜集了65篇2D目标检测论文,涉及:通用目标检测、旋转目标检测、Few-shot/自监督/半监督/无监督目标检测等方向。
注意:
- 这应该是目前各平台上最新最全面的CVPR 2021 2D目标检测- 盘点资料,欢迎点赞收藏和分享
- 3D目标检测、人脸检测、异常检测等检测方向并不在本文范畴,后续将单独分享,敬请期待!
- 65篇中有超过50+篇论文都来自华人,而且至少50+篇都来自中国地区(高校、企业),其中高校以清华、中科院、国科大等为主,企业以旷视、商汤等为主。
2D目标检测
1. Scaled-YOLOv4: Scaling Cross Stage Partial Network
2. You Only Look One-level Feature
3. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
4. End-to-End Object Detection with Fully Convolutional Network
- 作者单位: 旷视科技, 西安交通大学
- Paper: https://arxiv.org/abs/2012.03544
- Code: https://github.com/Megvii-BaseDetection/DeFCN
5. Dynamic Head: Unifying Object Detection Heads with Attentions
6. Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
7. UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
8. MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
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作者单位: 威斯康星大学, 谷歌
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Paper: https://openaccess.thecvf.com/content/CVPR2021/papers/Xiong_MobileDets_Searching_for_Object_Detection_Architectures_for_Mobile_Accelerators_CVPR_2021_paper.pdf
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Code: https://github.com/tensorflow/models/tree/master/research/object_detection
9. Tracking Pedestrian Heads in Dense Crowd
- 作者单位: 雷恩第一大学
- Homepage: https://project.inria.fr/crowdscience/project/dense-crowd-head-tracking/
- Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Sundararaman_Tr