ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.14242
  4. Cited By
Learning from Pixel-Level Label Noise: A New Perspective for
  Semi-Supervised Semantic Segmentation

Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation

26 March 2021
Rumeng Yi
Yaping Huang
Q. Guan
Mengyang Pu
Runsheng Zhang
    NoLa
ArXivPDFHTML

Papers citing "Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation"

11 / 11 papers shown
Title
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution
  Image Classification and Semantic Segmentation
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
Alberto Bacchin
Davide Allegro
Stefano Ghidoni
Emanuele Menegatti
47
1
0
02 Sep 2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic
  Segmentation
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
Shenwang Jiang
Jianan Li
Ying Wang
Wenxuan Wu
Jizhou Zhang
Bo Huang
Tingfa Xu
VLM
21
4
0
22 Jan 2024
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning
  Pixel-level Noise Transitions
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
Wenjie Xuan
Shanshan Zhao
Yu Yao
Juhua Liu
Tongliang Liu
Yixin Chen
Bo Du
Dacheng Tao
NoLa
26
6
0
26 Jul 2023
Learning Trustworthy Model from Noisy Labels based on Rough Set for
  Surface Defect Detection
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection
Tongzhi Niu
Bin Li
K. Li
Yufeng Lin
Yuwei Li
Weifeng Li
Zhenrong Wang
NoLa
14
3
0
25 Jan 2023
Progressive Learning with Cross-Window Consistency for Semi-Supervised
  Semantic Segmentation
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation
Bo Dang
Yansheng Li
Yongjun Zhang
Jiayi Ma
SSL
20
0
0
22 Nov 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise
  Robust Loss
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss
B. Felfeliyan
A. Hareendranathan
G. Kuntze
S. Wichuk
Nils D. Forkert
Jacob L. Jaremko
J. Ronsky
NoLa
31
2
0
16 Sep 2022
A Robust Morphological Approach for Semantic Segmentation of Very High
  Resolution Images
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images
Siddharth Saravanan
Aditya Challa
Sravan Danda
35
0
0
02 Aug 2022
Automated Detection of Label Errors in Semantic Segmentation Datasets
  via Deep Learning and Uncertainty Quantification
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
Matthias Rottmann
Marco Reese
UQCV
23
22
0
13 Jul 2022
One-shot Weakly-Supervised Segmentation in Medical Images
One-shot Weakly-Supervised Segmentation in Medical Images
Wenhui Lei
Q. Su
Ran Gu
Na Wang
Xinglong Liu
Guotai Wang
Xiaofan Zhang
Shaoting Zhang
6
2
0
21 Nov 2021
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating
  Back-Propagation for Saliency Detection
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Jing Zhang
Jianwen Xie
Nick Barnes
NoLa
50
57
0
23 Jul 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
232
740
0
28 Mar 2018
1