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Best Practices in Active Learning for Semantic Segmentation

Best Practices in Active Learning for Semantic Segmentation

8 February 2023
Sudhanshu Mittal
J. Niemeijer
Jörg P. Schäfer
Thomas Brox
    VLM
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Papers citing "Best Practices in Active Learning for Semantic Segmentation"

6 / 6 papers shown
Title
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
35
67
0
29 Jul 2021
All you need are a few pixels: semantic segmentation with PixelPick
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
37
42
0
13 Apr 2021
Semi-Supervised Semantic Segmentation with High- and Low-level
  Consistency
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
SSL
40
373
0
15 Aug 2019
Diverse mini-batch Active Learning
Diverse mini-batch Active Learning
Fedor Zhdanov
41
153
0
17 Jan 2019
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
375
1,507
0
30 Nov 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
522
11,540
0
06 Apr 2016
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