Learning from Noisy Anchors for One-stage Object Detection

Learning from Noisy Anchors for One-stage Object Detection

11 December 2019

Zuxuan Wu

Papers citing "Learning from Noisy Anchors for One-stage Object Detection"

11 / 11 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 26 1 0 14 Sep 2024
LEOD: Label-Efficient Object Detection for Event Cameras Ziyi Wu Mathias Gehrig Qing Lyu Xudong Liu Igor Gilitschenski 27 12 0 29 Nov 2023
Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores Peng Liu Weibo Wang Yuhan Guo Jiubin Tan 18 1 0 23 Sep 2023
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark Chang Xu Jinwang Wang Wen Yang Huai Yu Lei Yu Guisong Xia 28 155 0 28 Jun 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Saeed Mian M. Shah NoLa 30 97 0 28 Mar 2022
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression Jiabo He S. Erfani Xingjun Ma James Bailey Ying Chi Xiansheng Hua 26 247 0 26 Oct 2021
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation Kemal Oksuz Baris Can Cam Fehmi Kahraman Z. S. Baltaci Sinan Kalkan Emre Akbas 23 8 0 19 Oct 2021
Mutual Supervision for Dense Object Detection Ziteng Gao Limin Wang Gangshan Wu 53 29 0 13 Sep 2021
Efficient DETR: Improving End-to-End Object Detector with Dense Prior Z. Yao Jiangbo Ai Boxun Li Chi Zhang ViT 40 213 0 03 Apr 2021
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection Qi Ming Z. Zhou Lingjuan Miao Hongwei Zhang Linhao Li ObjD 147 285 0 08 Dec 2020
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Bill Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 20 12 0 11 Sep 2019