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On the Texture Bias for Few-Shot CNN Segmentation
v1v2v3 (latest)

On the Texture Bias for Few-Shot CNN Segmentation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
9 March 2020
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
    SSeg
ArXiv (abs)PDFHTMLGithub (30★)

Papers citing "On the Texture Bias for Few-Shot CNN Segmentation"

38 / 38 papers shown
MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation
MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation
Chao Deng
Xiaosen Li
Xiao Qin
196
0
0
01 Sep 2025
DFEN: Dual Feature Equalization Network for Medical Image Segmentation
DFEN: Dual Feature Equalization Network for Medical Image Segmentation
Jianjian Yin
Yi Chen
Chong Li
Zhichao Zheng
Yanhui Gu
Junsheng Zhou
MedIm
253
0
0
09 May 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic FaciesIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Surojit Saha
Ross T. Whitaker
301
0
0
28 Jan 2025
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image
  Segmentation
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
Xiao Liu
Peng Gao
Tao Yu
Haiwei Yang
Ruyue Yuan
MedImViT
277
124
0
25 Jul 2024
Deep Shape-Texture Statistics for Completely Blind Image Quality
  Evaluation
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation
Yixuan Li
Peilin Chen
Hanwei Zhu
Keyan Ding
Leida Li
Shiqi Wang
408
8
0
16 Jan 2024
Beyond Self-Attention: Deformable Large Kernel Attention for Medical
  Image Segmentation
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Reza Azad
Leon Niggemeier
Michael Huttemann
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Yury Velichko
Ulas Bagci
Dorit Merhof
MedIm
337
140
0
31 Aug 2023
Laplacian-Former: Overcoming the Limitations of Vision Transformers in
  Local Texture Detection
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Reza Azad
Amirhossein Kazerouni
Babak Azad
Ehsan Khodapanah Aghdam
Yury Velichko
Ulas Bagci
Dorit Merhof
ViTMedIm
317
31
0
31 Aug 2023
Large-kernel Attention for Efficient and Robust Brain Lesion
  Segmentation
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
Liam Chalcroft
Ruben Lourencco Pereira
Mikael Brudfors
Andrew S. Kayser
M. D’Esposito
Cathy J. Price
Ioannis Pappas
John Ashburner
ViT3DVMedIm
242
10
0
14 Aug 2023
Self-supervised Few-shot Learning for Semantic Segmentation: An
  Annotation-free Approach
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
Sanaz Karimijafarbigloo
Reza Azad
Dorit Merhof
255
14
0
26 Jul 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
272
8
0
13 Apr 2023
Few Shot Semantic Segmentation: a review of methodologies, benchmarks,
  and open challenges
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges
Nicolás Catalano
Matteo Matteucci
VLM
284
5
0
12 Apr 2023
DAE-Former: Dual Attention-guided Efficient Transformer for Medical
  Image Segmentation
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad
René Arimond
Ehsan Khodapanah Aghdam
Amirhosein Kazerouni
Dorit Merhof
ViTMedIm
372
150
0
27 Dec 2022
Prediction of Scene Plausibility
Prediction of Scene PlausibilityComputational Visual Media (CVM), 2022
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
235
0
0
02 Dec 2022
Style Augmentation improves Medical Image Segmentation
Style Augmentation improves Medical Image Segmentation
Kévin Ginsburger
288
0
0
02 Nov 2022
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin
  Lesion Segmentation
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Ehsan Khodapanah Aghdam
Reza Azad
Maral Zarvani
Dorit Merhof
ViTSSegMedIm
206
86
0
30 Oct 2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global
  Conditional Networks
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional NetworksInternational Journal of Computer Vision (IJCV), 2022
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
ISegSSeg
280
31
0
23 Aug 2022
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical
  Image Segmentation
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Reza Azad
Moein Heidari
M. Shariatnia
Ehsan Khodapanah Aghdam
Sanaz Karimijafarbigloo
Ehsan Adeli
Dorit Merhof
ViTMedIm
277
162
0
01 Aug 2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism
  for a Deep Segmentation Model
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelIEEE Access (IEEE Access), 2022
Reza Azad
Mohammad T. Al-Antary
Moein Heidari
Dorit Merhof
ViTMedIm
255
121
0
27 Jul 2022
Self-Support Few-Shot Semantic Segmentation
Self-Support Few-Shot Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
294
210
0
23 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 SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Xinyu Shi
Dong Wei
Yu Zhang
Donghuan Lu
Munan Ning
Jiashun Chen
Kai Ma
Yefeng Zheng
233
155
0
18 Jul 2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers
  for Medical Image Segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Moein Heidari
Amirhossein Kazerouni
Milad Soltany Kadarvish
Reza Azad
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
MedImViT
364
336
0
18 Jul 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG
  Images with Curriculum Learning
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum LearningComputer Vision and Pattern Recognition (CVPR), 2022
Soumen Basu
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
235
46
0
25 Apr 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing
  modalities
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalitiesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Reza Azad
Nika Khosravi
Dorit Merhof
227
82
0
06 Apr 2022
Intervertebral Disc Labeling With Learning Shape Information, A Look
  Once Approach
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach
Reza Azad
Moein Heidari
Julien Cohen-Adad
Ehsan Adeli
Dorit Merhof
190
6
0
06 Apr 2022
Medical Image Segmentation on MRI Images with Missing Modalities: A
  Review
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
Reza Azad
Nika Khosravi
Mohammad Dehghanmanshadi
Julien Cohen-Adad
Dorit Merhof
217
53
0
11 Mar 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
513
35
0
30 Oct 2021
Dense Gaussian Processes for Few-Shot Segmentation
Dense Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
Michael Felsberg
Fahad Shahbaz Khan
Martin Danelljan
354
35
0
07 Oct 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
A. Makarevich
Azade Farshad
Vasileios Belagiannis
Nassir Navab
190
11
0
18 Sep 2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson LearningIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
215
19
0
26 Aug 2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Weide Liu
Fangqiu Yi
Henghui Ding
Tzu-Yi Hung
Guosheng Lin
344
60
0
19 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight TransformerIEEE International Conference on Computer Vision (ICCV), 2021
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
601
227
0
06 Aug 2021
Prototypical Region Proposal Networks for Few-Shot Localization and
  Classification
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Elliott Skomski
Aaron Tuor
Andrew Avila
Lauren A. Phillips
Zach New
Henry Kvinge
Court D. Corley
Nathan Oken Hodas
179
0
0
08 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Juhong Min
Dahyun Kang
Minsu Cho
431
406
0
04 Apr 2021
Deep Gaussian Processes for Few-Shot Segmentation
Deep Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
Martin Danelljan
Michael Felsberg
Fahad Shahbaz Khan
VLM
218
2
0
30 Mar 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Self-Guided and Cross-Guided Learning for Few-Shot SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Bingfeng Zhang
Jimin Xiao
Terry Qin
310
219
0
30 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
271
152
0
29 Mar 2021
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Zhuotao Tian
Hengshuang Zhao
Michelle Shu
Zhicheng Yang
Ruiyu Li
Jiaya Jia
369
674
0
04 Aug 2020
Semi-supervised few-shot learning for medical image segmentation
Semi-supervised few-shot learning for medical image segmentation
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
329
72
0
18 Mar 2020
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