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NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object
  Detection

NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection

1 December 2018
J. Gao
Jiang Wang
Shengyang Dai
Li Li
Ram Nevatia
    ObjD
ArXivPDFHTML

Papers citing "NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection"

21 / 21 papers shown
Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
64
0
0
25 Feb 2025
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
50
115
0
24 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
32
113
0
12 Aug 2022
Robust Object Detection With Inaccurate Bounding Boxes
Robust Object Detection With Inaccurate Bounding Boxes
Chengxin Liu
Kewei Wang
Hao Lu
Zhiguo Cao
Ziming Zhang
13
21
0
20 Jul 2022
Group R-CNN for Weakly Semi-supervised Object Detection with Points
Group R-CNN for Weakly Semi-supervised Object Detection with Points
Shilong Zhang
Zhuoran Yu
Liyang Liu
Xinjiang Wang
Aojun Zhou
Kaibing Chen
20
45
0
12 May 2022
Dynamic Supervisor for Cross-dataset Object Detection
Dynamic Supervisor for Cross-dataset Object Detection
Ze Chen
Zhihang Fu
Jianqiang Huang
Mingyuan Tao
Sheng-Gang Li
Rongxin Jiang
Xiang Tian
Yao-wu Chen
Xiansheng Hua
38
0
0
01 Apr 2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
Omni-DETR: Omni-Supervised Object Detection with Transformers
Pei Wang
Zhaowei Cai
Hao Yang
Gurumurthy Swaminathan
Nuno Vasconcelos
Bernt Schiele
Stefano Soatto
41
40
0
30 Mar 2022
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding
  Box Regression
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
39
248
0
26 Oct 2021
Noisy Annotation Refinement for Object Detection
Noisy Annotation Refinement for Object Detection
Jiafeng Mao
Qing Yu
Yoko Yamakata
Kiyoharu Aizawa
NoLa
47
10
0
20 Oct 2021
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
68
64
0
06 Oct 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
36
177
0
19 Jun 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection
  Framework
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Qiang-feng Zhou
Chaohui Yu
Zhibin Wang
Qi Qian
Hao Li
ObjD
27
195
0
21 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
569
0
28 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Zijian He
Chia-Wen Kuo
Kan Chen
Peizhao Zhang
Bichen Wu
Z. Kira
Peter Vajda
68
475
0
18 Feb 2021
Co-mining: Self-Supervised Learning for Sparsely Annotated Object
  Detection
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang
Tong Yang
Jiale Cao
Xinming Zhang
27
47
0
03 Dec 2020
Open-Vocabulary Object Detection Using Captions
Open-Vocabulary Object Detection Using Captions
Alireza Zareian
Kevin Dela Rosa
Derek Hao Hu
Shih-Fu Chang
VLM
ObjD
44
418
0
20 Nov 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
28
282
0
18 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-training
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
20
65
0
17 Jul 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
81
120
0
20 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
67
28
0
03 Mar 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
28
100
0
15 Jan 2020
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