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A Closer Look at Self-training for Zero-Label Semantic Segmentation

A Closer Look at Self-training for Zero-Label Semantic Segmentation

21 April 2021
Giuseppe Pastore
Fabio Cermelli
Yongqin Xian
Massimiliano Mancini
Zeynep Akata
Barbara Caputo
    VLM
ArXivPDFHTML

Papers citing "A Closer Look at Self-training for Zero-Label Semantic Segmentation"

4 / 54 papers shown
Title
Open-Vocabulary Instance Segmentation via Robust Cross-Modal
  Pseudo-Labeling
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
Dat T. Huynh
Jason Kuen
Zhe-nan Lin
Jiuxiang Gu
Ehsan Elhamifar
ISeg
VLM
17
83
0
24 Nov 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
248
656
0
23 Mar 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
21
189
0
21 Dec 2019
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
244
1,275
0
06 Mar 2017
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