ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.19846
  4. Cited By
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation

Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation

26 May 2025
Nagito Saito
Shintaro Ito
Koichi Ito
T. Aoki
    VLM
    MedIm
ArXivPDFHTML

Papers citing "Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation"

20 / 20 papers shown
Title
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot
  Medical Image Segmentation
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation
Sidra Aleem
Fangyijie Wang
Mayug Maniparambil
Eric Arazo
J. Dietlmeier
Guénolé Silvestre
Kathleen M. Curran
Noel E. O'Connor
Suzanne Little
VLM
MedIm
60
14
0
09 Apr 2024
Grounding Everything: Emerging Localization Properties in
  Vision-Language Transformers
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Walid Bousselham
Felix Petersen
Vittorio Ferrari
Hilde Kuehne
ObjD
VLM
56
45
0
01 Dec 2023
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial
  Understanding
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Mehrdad Farajtabar
Sachin Mehta
Mohammad Rastegari
Oncel Tuzel
Hadi Pouransari
VLM
59
71
0
23 Oct 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic
  Segmentation
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
NAI
62
31
0
24 Aug 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
264
7,047
0
05 Apr 2023
Audio-Visual Segmentation
Audio-Visual Segmentation
Jinxing Zhou
Jianyuan Wang
Jing Zhang
Weixuan Sun
Jing Zhang
Stan Birchfield
Dan Guo
Lingpeng Kong
Meng Wang
Yiran Zhong
VOS
62
113
0
11 Jul 2022
ST++: Make Self-training Work Better for Semi-supervised Semantic
  Segmentation
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
33
309
0
09 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen
Yuhui Yuan
Gang Zeng
Jingdong Wang
63
772
0
02 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
156
4,934
0
31 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
450
3,678
0
24 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
127
2,872
0
31 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
403
40,217
0
22 Oct 2020
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
50
374
0
15 Aug 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
155
13,051
0
07 Feb 2018
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
72
563
0
24 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
241
4,357
0
29 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
322
37,704
0
20 May 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
497
27,231
0
02 Dec 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
275
43,290
0
01 May 2014
1