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DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining
v1v2 (latest)

DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining

22 April 2025
Wei Zhuo
Zhiyue Tang
Wufeng Xue
Hao Ding
Linlin Shen
ArXiv (abs)PDFHTML

Papers citing "DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining"

36 / 36 papers shown
Title
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
S. Park
Subeen Lee
Hyun Seok Seong
Jaejoon Yoo
Jae-Pil Heo
127
1
0
03 Jan 2025
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
Anqi Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
VLM
79
8
0
09 Oct 2024
Eliminating Feature Ambiguity for Few-Shot Segmentation
Eliminating Feature Ambiguity for Few-Shot Segmentation
Qianxiong Xu
Guosheng Lin
Chen Change Loy
Cheng Long
Ziyue Li
Rui Zhao
66
3
0
13 Jul 2024
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic
  Segmentation
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Weizhao He
Zhiyuan Liu
Wei Zhuo
Linlin Shen
Jiaqi Yang
Songhe Deng
Liang Sun
VLM
91
10
0
12 Jun 2024
VRP-SAM: SAM with Visual Reference Prompt
VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun
Jiahui Chen
Shan Zhang
Xinyu Zhang
Qiang Chen
Gang Zhang
Errui Ding
Jingdong Wang
Zechao Li
133
39
0
27 Feb 2024
SEGIC: Unleashing the Emergent Correspondence for In-Context
  Segmentation
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
Lingchen Meng
Shiyi Lan
Hengduo Li
Jose M. Alvarez
Zuxuan Wu
Yu-Gang Jiang
VLMISegMLLM
62
9
0
24 Nov 2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
Qianxiong Xu
Wenting Zhao
Guosheng Lin
Cheng Long
56
29
0
18 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation
  and Beyond
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
Chen Shuai
Meng Fanman
Runtong Zhang
Heqian Qiu
Hongliang Li
Wu Qingbo
Xu Linfeng
VLM
86
14
0
15 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
VLMMLLM
181
90
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
MLLMVLM
109
218
0
04 May 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
448
3,529
0
14 Apr 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
MLLMVLM
459
7,452
0
05 Apr 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng
Zhuotao Tian
Xiaoyang Wu
Chenyao Wang
Shu Liu
Jingyong Su
Jiaya Jia
127
77
0
26 Mar 2023
MSI: Maximize Support-Set Information for Few-Shot Segmentation
MSI: Maximize Support-Set Information for Few-Shot Segmentation
Seonghyeon Moon
Samuel S. Sohn
Honglu Zhou
Sejong Yoon
Vladimir Pavlovic
Muhammad Haris Khan
Mubbasir Kapadia
99
19
0
09 Dec 2022
Images Speak in Images: A Generalist Painter for In-Context Visual
  Learning
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
Xinlong Wang
Wen Wang
Yue Cao
Chunhua Shen
Tiejun Huang
VLMMLLM
156
262
0
05 Dec 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
109
133
0
22 Jul 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for
  Few-Shot Segmentation
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Xinyu Shi
Dong Wei
Yu Zhang
Donghuan Lu
Munan Ning
Jiashun Chen
Kai Ma
Yefeng Zheng
55
105
0
18 Jul 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot
  Segmentation
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
Ehtesham Iqbal
Sirojbek Safarov
Seongdeok Bang
52
36
0
20 Jun 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Chunbo Lang
Gong Cheng
Binfei Tu
Junwei Han
96
206
0
15 Mar 2022
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
98
39
0
28 Sep 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
221
179
0
06 Aug 2021
Few-Shot Segmentation via Cycle-Consistent Transformer
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang
Guoliang Kang
Yi Yang
Yunchao Wei
ViT
107
186
0
04 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
792
6,149
0
29 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang
Jimin Xiao
Terry Qin
75
166
0
30 Mar 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
CLIPVLM
1.1K
30,032
0
26 Feb 2021
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
734
41,796
0
22 Oct 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Part-aware Prototype Network for Few-shot Semantic Segmentation
Yongfei Liu
Xiangyi Zhang
Songyang Zhang
Xuming He
49
323
0
13 Jul 2020
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
120
331
0
28 Sep 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
VLM
84
1,074
0
18 Aug 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
92
249
0
29 Jul 2019
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
Xiaolin Zhang
Yunchao Wei
Yi Yang
Thomas Huang
VLM
71
466
0
22 Oct 2018
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSegVLM
155
705
0
11 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
936
133,201
0
12 Jun 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGenVOS
118
1,219
0
03 Apr 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
309
8,184
0
15 Mar 2017
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
473
43,961
0
01 May 2014
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