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Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic
  Segmentation
v1v2 (latest)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation

29 October 2024
Jintao Tong
Yixiong Zou
Yuhua Li
Ruixuan Li
ArXiv (abs)PDFHTML

Papers citing "Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation"

31 / 31 papers shown
Title
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
Jiaqi Yang
Ye Huang
Jingxi Hu
Xiangjian He
Linlin Shen
Guoping Qiu
VLM
123
1
0
31 Dec 2024
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
102
219
0
04 May 2023
Feature-Proxy Transformer for Few-Shot Segmentation
Feature-Proxy Transformer for Few-Shot Segmentation
Jianwei Zhang
Yifan Sun
Yi Yang
Wei Chen
ViT
60
63
0
13 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level
  Overfitting Mitigation
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Yixiong Zou
Shanghang Zhang
Yuhua Li
Rui Li
CLL
49
64
0
10 Oct 2022
Channel Importance Matters in Few-Shot Image Classification
Channel Importance Matters in Few-Shot Image Classification
Xu Luo
Jing Xu
Zenglin Xu
VLM
76
42
0
16 Jun 2022
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional
  Neural Networks in Frequency Domain
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen
Peixi Peng
Li Ma
Jia Li
Lin Du
Yonghong Tian
AAMLOOD
65
96
0
19 Aug 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
153
944
0
11 May 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li
Varun Jampani
Laura Sevilla-Lara
Deqing Sun
Jonghyun Kim
Joongkyu Kim
90
364
0
05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
86
296
0
04 Apr 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
238
190
0
11 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
670
41,430
0
22 Oct 2020
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo
Noel Codella
Leonid Karlinsky
James V. Codella
John R. Smith
Kate Saenko
Tajana Simunic
Rogerio Feris
64
45
0
16 Dec 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
64
1,070
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
78
248
0
29 Jul 2019
High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
61
525
0
28 May 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement
  and Attentive Few-Shot Learning
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
VLMSSeg
68
544
0
06 Mar 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted
  by the International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
...
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
110
1,191
0
09 Feb 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural
  Networks
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Zhi-Qin John Xu
Yaoyu Zhang
Yaoyu Zhang
Yan Xiao
Zheng Ma
124
519
0
19 Jan 2019
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
82
188
0
22 Oct 2018
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
465
0
22 Oct 2018
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSegVLM
118
704
0
11 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,557
0
05 Sep 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILMFAtt
158
1,523
1
19 Apr 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
827
11,943
0
09 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,033
0
04 Dec 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
202
4,898
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
1