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WeakSAM: Segment Anything Meets Weakly-supervised Instance-level
  Recognition

WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition

22 February 2024
Lianghui Zhu
Junwei Zhou
Yan Liu
Xin Hao
Wenyu Liu
Xinggang Wang
    VLM
ArXivPDFHTML

Papers citing "WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition"

4 / 4 papers shown
Title
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
69
20
0
02 May 2023
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance
  Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beomyoung Kim
Y. Yoo
Chae-Eun Rhee
Junmo Kim
ISeg
188
34
0
20 Sep 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,490
0
27 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
171
311
0
07 Feb 2020
1