A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection

28 September 2020

Papers citing "A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection"

7 / 7 papers shown

Title
Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection Zhangchi Hu Peixi Wu Jie Chen Huyue Zhu Yijun Wang Yansong Peng H. Li X. Sun 26 0 0 09 May 2025
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 77 2 0 23 Nov 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
Long-tail Detection with Effective Class-Margins Jang Hyun Cho Philipp Krahenbuhl 28 17 0 23 Jan 2023
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 20 6,062 0 06 Jul 2022
Rank & Sort Loss for Object Detection and Instance Segmentation Kemal Oksuz Baris Can Cam Emre Akbas Sinan Kalkan 19 42 0 24 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 21 21 0 02 Jul 2021