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3D Guided Weakly Supervised Semantic Segmentation

3D Guided Weakly Supervised Semantic Segmentation

Asian Conference on Computer Vision (ACCV), 2020
1 December 2020
Weixuan Sun
Jing Zhang
Nick Barnes
ArXiv (abs)PDFHTML

Papers citing "3D Guided Weakly Supervised Semantic Segmentation"

9 / 9 papers shown
ToNNO: Tomographic Reconstruction of a Neural Network's Output for
  Weakly Supervised Segmentation of 3D Medical Images
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin
Alexis Benichoux
S. Belachew
N. Komodakis
Nikos Paragios
MedIm
256
2
0
19 Apr 2024
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
Kangcheng Liu
3DPC
175
0
0
03 Dec 2023
2D-3D Interlaced Transformer for Point Cloud Segmentation with
  Scene-Level Supervision
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
Cheng-Kun Yang
Min-Hung Chen
Yung-Yu Chuang
Yen-Yu Lin
ViT3DPC
338
29
0
19 Oct 2023
All-pairs Consistency Learning for Weakly Supervised Semantic
  Segmentation
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Weixuan Sun
Yanhao Zhang
Zhen Qin
Zheyuan Liu
Lin Cheng
Fanyi Wang
Yiran Zhong
Nick Barnes
ViT
280
13
0
08 Aug 2023
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly
  Supervised Semantic Segmentation
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
Tianle Chen
Zheda Mai
Ruiwen Li
Wei-lun Chao
VLM
518
83
0
09 May 2023
An Alternative to WSSS? An Empirical Study of the Segment Anything Model
  (SAM) on Weakly-Supervised Semantic Segmentation Problems
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Weixuan Sun
Zheyuan Liu
Yanhao Zhang
Yiran Zhong
Nick Barnes
VLM
470
34
0
02 May 2023
GETAM: Gradient-weighted Element-wise Transformer Attention Map for
  Weakly-supervised Semantic segmentation
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
Weixuan Sun
Jing Zhang
Zheyuan Liu
Yiran Zhong
Nick Barnes
ViT
283
15
0
06 Dec 2021
Inferring the Class Conditional Response Map for Weakly Supervised
  Semantic Segmentation
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation
Weixuan Sun
Jing Zhang
Nick Barnes
WSOL
301
16
0
27 Oct 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor LocalisationConference on Robot Learning (CoRL), 2021
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
317
9
0
04 May 2021
1
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