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Colour augmentation for improved semi-supervised semantic segmentation

Colour augmentation for improved semi-supervised semantic segmentation

9 October 2021
Geoff French
Michal Mackiewicz
ArXivPDFHTML

Papers citing "Colour augmentation for improved semi-supervised semantic segmentation"

4 / 4 papers shown
Title
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating
  Holistic Understanding of Crowd Scenes
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Yifei Qian
Xiaopeng Hong
Zhongliang Guo
Ognjen Arandjelović
Carl R. Donovan
35
8
0
16 Oct 2023
Semi-Supervised Learning for Visual Bird's Eye View Semantic
  Segmentation
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Junyu Zhu
Lina Liu
Yu Tang
Feng Wen
Wanlong Li
Yong Liu
37
4
0
28 Aug 2023
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1