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Co-mining: Self-Supervised Learning for Sparsely Annotated Object
  Detection

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection

3 December 2020
Tiancai Wang
Tong Yang
Jiale Cao
Xinming Zhang
ArXivPDFHTML

Papers citing "Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection"

6 / 6 papers shown
Title
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Abdul Rehman
Talha Meraj
A. Minhas
A. Imran
Mohsen Ali
Waqas Sultani
M. Shah
56
0
0
03 Apr 2025
Multispectral Pedestrian Detection with Sparsely Annotated Label
Multispectral Pedestrian Detection with Sparsely Annotated Label
Chan Lee
Seungho Shin
Gyeong-Moon Park
Jung Uk Kim
35
0
0
05 Jan 2025
SIOD: Single Instance Annotated Per Category Per Image for Object
  Detection
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Hanjun Li
Xingjia Pan
Ke Yan
Fan Tang
Weihao Zheng
25
18
0
29 Mar 2022
Bootstrap Your Object Detector via Mixed Training
Bootstrap Your Object Detector via Mixed Training
Mengde Xu
Zheng-Wei Zhang
Fangyun Wei
Yutong Lin
Yue Cao
Stephen Lin
Han Hu
Xiang Bai
ObjD
24
6
0
04 Nov 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
319
498
0
05 Mar 2020
Solving Missing-Annotation Object Detection with Background
  Recalibration Loss
Solving Missing-Annotation Object Detection with Background Recalibration Loss
Han Zhang
Fangyi Chen
Zhiqiang Shen
Qiqi Hao
Chenchen Zhu
Marios Savvides
ObjD
135
52
0
12 Feb 2020
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