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SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised
  Referring Expression Segmentation

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

3 June 2024
Danni Yang
Jiayi Ji
Yiwei Ma
Tianyu Guo
Haowei Wang
Xiaoshuai Sun
Rongrong Ji
    ISeg
    VLM
ArXivPDFHTML

Papers citing "SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation"

26 / 26 papers shown
Title
Beyond One-to-One: Rethinking the Referring Image Segmentation
Beyond One-to-One: Rethinking the Referring Image Segmentation
Yutao Hu
Qixiong Wang
Wenqi Shao
Enze Xie
Zhenguo Li
Jungong Han
Ping Luo
3DV
110
40
0
26 Aug 2023
Matcher: Segment Anything with One Shot Using All-Purpose Feature
  Matching
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Yang Liu
Muzhi Zhu
Hengtao Li
Hao Chen
Xinlong Wang
Chunhua Shen
VLM
MLLM
134
89
0
22 May 2023
Personalize Segment Anything Model with One Shot
Personalize Segment Anything Model with One Shot
Renrui Zhang
Zhengkai Jiang
Ziyu Guo
Shilin Yan
Junting Pan
Xianzheng Ma
Hao Dong
Peng Gao
Hongsheng Li
MLLM
VLM
90
216
0
04 May 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
72
151
0
26 Jan 2023
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
85
77
0
09 Dec 2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic
  Segmentation
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Lihe Yang
Lei Qi
Xue Jiang
Wayne Zhang
Yinghuan Shi
53
259
0
21 Aug 2022
Dash: Semi-Supervised Learning with Dynamic Thresholding
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Tian Xu
Lei Shang
Jinxing Ye
Qi Qian
Yu-Feng Li
Baigui Sun
Hao Li
Rong Jin
90
225
0
01 Sep 2021
Vision-Language Transformer and Query Generation for Referring
  Segmentation
Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding
Chang-rui Liu
Suchen Wang
Xudong Jiang
73
262
0
12 Aug 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
87
783
0
02 Jun 2021
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath
Mannat Singh
Yann LeCun
Gabriel Synnaeve
Ishan Misra
Nicolas Carion
ObjD
VLM
165
881
0
26 Apr 2021
TransVG: End-to-End Visual Grounding with Transformers
TransVG: End-to-End Visual Grounding with Transformers
Jiajun Deng
Zhengyuan Yang
Tianlang Chen
Wen-gang Zhou
Houqiang Li
ViT
62
341
0
17 Apr 2021
Bootstrapping Semantic Segmentation with Regional Contrast
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu
Shuaifeng Zhi
Edward Johns
Andrew J. Davison
ISeg
55
124
0
09 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
432
21,392
0
25 Mar 2021
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou
Zizhao Zhang
Han Zhang
Chun-Liang Li
Xiao Bian
Jia-Bin Huang
Tomas Pfister
59
297
0
19 Oct 2020
Linguistic Structure Guided Context Modeling for Referring Image
  Segmentation
Linguistic Structure Guided Context Modeling for Referring Image Segmentation
Tianrui Hui
Si Liu
Shaofei Huang
Guanbin Li
Sansi Yu
Faxi Zhang
Jizhong Han
65
154
0
01 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
355
6,792
0
13 Jun 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
105
726
0
19 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
155
3,545
0
21 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
439
42,393
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
187
12,073
0
13 Nov 2019
MAttNet: Modular Attention Network for Referring Expression
  Comprehension
MAttNet: Modular Attention Network for Referring Expression Comprehension
Licheng Yu
Zhe Lin
Xiaohui Shen
Jimei Yang
Xin Lu
Joey Tianyi Zhou
Tamara L. Berg
ObjD
97
827
0
24 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
Phrase Localization and Visual Relationship Detection with Comprehensive
  Image-Language Cues
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
Bryan A. Plummer
Arun Mallya
Christopher M. Cervantes
Julia Hockenmaier
Svetlana Lazebnik
65
189
0
21 Nov 2016
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
193
2,053
0
19 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
450
43,277
0
11 Feb 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
398
43,619
0
01 May 2014
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