Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Xiang Li, Wenhai Wang, Xiaolin Hu 0001, Jun Li, Jinhui Tang, Jian Yang 0003. Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 11632-11641, Computer Vision Foundation / IEEE, 2021. [doi]

The following publications are possibly variants of this publication:

Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object DetectionXiang Li 0041, Chengqi Lv, Wenhai Wang, Gang Li, Lingfeng Yang, Jian Yang 0003. pami, 45(3):3139-3153, March 2023. [doi]

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object DetectionXiang Li 0041, Wenhai Wang, Lijun Wu, Shuo Chen 0003, Xiaolin Hu 0001, Jun Li, Jinhui Tang, Jian Yang 0003. nips 2020: [doi]

Soft focal loss: Evaluating sample quality for dense object detectionZhenyuan Wang, Xuemei Xie, Jianxiu Yang, Guangming Shi. ijon, 480:271-280, 2022. [doi]

Equalized Focal Loss for Dense Long-Tailed Object DetectionBo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo. cvpr 2022: 6980-6989 [doi]

Focal Loss in 3D Object DetectionPeng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu 0001. ral, 4(2):1263-1270, 2019. [doi]

Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networksXiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu 0001, Yuanlong Deng. mta, 83(27):70571-70593, August 2024. [doi]

runs on WebDSL