Generating Positive Bounding Boxes for Balanced Training of Object Detectors

21 September 2019

Papers citing "Generating Positive Bounding Boxes for Balanced Training of Object Detectors"

6 / 6 papers shown

Title
Self-Balanced R-CNN for Instance Segmentation L. Rossi Akbar Karimi Andrea Prati ISeg SSeg 50 9 0 25 Apr 2024
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 23 16 0 03 Jul 2023
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models Luke K. Topham Wasiq Khan D. Al-Jumeily A. Hussain CVBM 38 32 0 23 May 2023
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning Hojat Asgarian Dehkordi Ali Soltani Nezhad Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi 33 13 0 13 Dec 2021
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 28 12 0 11 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 25 458 0 31 Aug 2019