Imbalance Problems in Object Detection: A Review

31 August 2019

Papers citing "Imbalance Problems in Object Detection: A Review"

9 / 59 papers shown

Title
FathomNet: An underwater image training database for ocean exploration and discovery O. Boulais Benjamin Woodward B. Schlining L. Lundsten K. Barnard K. L. Bell K. Katija 19 14 0 30 Jun 2020
Foreground-Background Imbalance Problem in Deep Object Detectors: A Review Joya Chen Qi Wu Dong Liu Tong Xu ObjD 25 24 0 16 Jun 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 27 80 0 02 Apr 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 28 281 0 06 Jan 2020
Guided Attention Network for Object Detection and Counting on Drones Yuanqiang Cai Dawei Du Libo Zhang Longyin Wen Weiqiang Wang Y. Wu Siwei Lyu 19 58 0 25 Sep 2019
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
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 346 10,639 0 19 Feb 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 243 447 0 28 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016