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Weighting Pseudo-Labels via High-Activation Feature Index Similarity and
  Object Detection for Semi-Supervised Segmentation

Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation

17 July 2024
Prantik Howlader
Hieu M. Le
Dimitris Samaras
ArXivPDFHTML

Papers citing "Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation"

5 / 5 papers shown
Title
Shadow Removal Refinement via Material-Consistent Shadow Edges
Shadow Removal Refinement via Material-Consistent Shadow Edges
Shilin Hu
Hieu Le
ShahRukh Athar
Sagnik Das
Dimitris Samaras
26
0
0
10 Sep 2024
Self-Training with Differentiable Teacher
Self-Training with Differentiable Teacher
Simiao Zuo
Yue Yu
Chen Liang
Haoming Jiang
Siawpeng Er
Chao Zhang
T. Zhao
H. Zha
41
14
0
15 Sep 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
129
203
0
27 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
241
509
0
15 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1