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Part-aware Prototype Network for Few-shot Semantic Segmentation

Part-aware Prototype Network for Few-shot Semantic Segmentation

13 July 2020
Yongfei Liu
Xiangyi Zhang
Songyang Zhang
Xuming He
ArXivPDFHTML

Papers citing "Part-aware Prototype Network for Few-shot Semantic Segmentation"

33 / 33 papers shown
Title
DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining
DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining
Wei Zhuo
Zhiyue Tang
Wufeng Xue
Hao Ding
Linlin Shen
51
0
0
22 Apr 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
Interpreting CLIP with Hierarchical Sparse Autoencoders
Vladimir Zaigrajew
Hubert Baniecki
P. Biecek
145
1
0
27 Feb 2025
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
S. Park
Subeen Lee
Hyun Seok Seong
Jaejoon Yoo
Jae-Pil Heo
74
1
0
03 Jan 2025
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
174
5
0
17 Sep 2024
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through
  Self-Supervision With Supervoxels
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels
Stine Hansen
Srishti Gautam
Robert Jenssen
Michael C. Kampffmeyer
72
86
0
03 Mar 2022
Few-Shot Segmentation with Global and Local Contrastive Learning
Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu
Zhonghua Wu
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
Wei Zhou
64
24
0
11 Aug 2021
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Pinzhuo Tian
Zhangkai Wu
Lei Qi
Lei Wang
Yinghuan Shi
Yang Gao
VLM
41
82
0
23 Nov 2019
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
90
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
44
1,058
0
18 Aug 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
49
267
0
03 Jun 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
VLM
SSeg
58
540
0
06 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
A. Ayyad
Yuchen Li
Nassir Navab
Shadi Albarqouni
Mohamed Elhoseiny
30
7
0
06 Mar 2019
Adaptive Masked Proxies for Few-Shot Segmentation
Adaptive Masked Proxies for Few-Shot Segmentation
Mennatullah Siam
Boris N. Oreshkin
Martin Jägersand
25
32
0
19 Feb 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
55
463
0
22 Oct 2018
Few-Shot Segmentation Propagation with Guided Networks
Few-Shot Segmentation Propagation with Guided Networks
Kate Rakelly
Evan Shelhamer
Trevor Darrell
Alexei A. Efros
Sergey Levine
61
118
0
25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
Sung Ju Hwang
Yi Yang
74
667
0
25 May 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
59
1,278
0
02 Mar 2018
Learning Deep Representations of Medical Images using Siamese CNNs with
  Application to Content-Based Image Retrieval
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval
Yu-An Chung
W. Weng
SSL
MedIm
43
67
0
22 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
156
1,237
0
10 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
314
19,991
0
30 Oct 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
75
699
0
11 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
154
8,425
0
17 Jun 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
443
129,831
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
213
8,072
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
759
11,793
0
09 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
356
11,941
0
04 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
439
28,901
0
09 Sep 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
290
7,299
0
13 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
315
37,704
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
757
15,718
0
02 Nov 2015
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
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
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
255
43,290
0
01 May 2014
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