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PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

18 August 2019
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
    VLM
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Papers citing "PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment"

50 / 156 papers shown
Title
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
37
10
0
09 Nov 2021
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
55
20
0
30 Oct 2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic
  Segmentation
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Yunxin Li
Ahmet Sencan
Yunxin Ding
Nazli Ikizler-Cinbis
Hao Fei
VLM
SSL
32
10
0
23 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
27
39
0
18 Oct 2021
Dense Gaussian Processes for Few-Shot Segmentation
Dense Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
M. Felsberg
Fahad Shahbaz Khan
Martin Danelljan
61
30
0
07 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Li Niu
VLM
OffRL
21
2
0
06 Oct 2021
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and
  Boundary
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary
Siyuan Zhou
Li Niu
Jianlou Si
Chao Qian
Liqing Zhang
15
10
0
04 Oct 2021
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
46
37
0
28 Sep 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
Raymond Kai-Yu Tong
40
55
0
28 Sep 2021
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
Venkata Satya Sai Ajay Daliparthi
3DPC
24
0
0
21 Sep 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
54
10
0
18 Sep 2021
Improved Few-shot Segmentation by Redefinition of the Roles of
  Multi-level CNN Features
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
Zhijie Wang
Masanori Suganuma
Takayuki Okatani
VLM
SSeg
39
1
0
14 Sep 2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
P. H. T. Gama
Hugo Oliveira
J. M. Junior
J. D. Santos
VLM
32
19
0
03 Sep 2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark
  and Lateral Inhibition Module for Prohibited Items Detection
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
Renshuai Tao
Yanlu Wei
Xiangjian Jiang
Hainan Li
Haotong Qin
Jiakai Wang
Yuqing Ma
Libo Zhang
Xianglong Liu
37
72
0
23 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic
  Segmentation
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek
Youngmin Oh
Bumsub Ham
21
77
0
14 Aug 2021
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
45
24
0
11 Aug 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
171
173
0
06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
75
108
0
06 Aug 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth
  Images
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang
Marko Mihajlovic
Qianli Ma
Andreas Geiger
Siyu Tang
3DH
19
99
0
22 Jun 2021
Rethinking Space-Time Networks with Improved Memory Coverage for
  Efficient Video Object Segmentation
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng
Yu-Wing Tai
Chi-Keung Tang
VOS
46
280
0
09 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang
Guoliang Kang
Yi Yang
Yunchao Wei
ViT
19
179
0
04 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
Binghao Liu
Yao Ding
Jianbin Jiao
Xiangyang Ji
QiXiang Ye
29
47
0
01 Jun 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Giuseppe Pastore
Fabio Cermelli
Yongqin Xian
Massimiliano Mancini
Zeynep Akata
Barbara Caputo
VLM
31
68
0
21 Apr 2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive
  Background Prototypes
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
23
10
0
19 Apr 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
31
354
0
05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
34
288
0
04 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
18
29
0
01 Apr 2021
Force-and-moment-based Model Predictive Control for Achieving Highly
  Dynamic Locomotion on Bipedal Robots
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots
Junheng Li
G. Alcan
30
20
0
31 Mar 2021
Deep Gaussian Processes for Few-Shot Segmentation
Deep Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
Martin Danelljan
M. Felsberg
Fahad Shahbaz Khan
VLM
22
2
0
30 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
44
126
0
29 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
43
81
0
24 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
43
138
0
10 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
44
108
0
07 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
43
84
0
01 Mar 2021
Compositional Prototype Network with Multi-view Comparision for Few-Shot
  Point Cloud Semantic Segmentation
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Xiaoyu Chen
Chi Zhang
Guosheng Lin
Jing Han
3DPC
23
16
0
28 Dec 2020
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
177
188
0
11 Dec 2020
Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation
Zhuotao Tian
Xin Lai
Li Jiang
Shu Liu
Michelle Shu
Hengshuang Zhao
Jiaya Jia
VLM
27
81
0
11 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
30
76
0
16 Sep 2020
SML: Semantic Meta-learning for Few-shot Semantic Segmentation
SML: Semantic Meta-learning for Few-shot Semantic Segmentation
Ayyappa Kumar Pambala
Titir Dutta
Soma Biswas
24
22
0
14 Sep 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in
  One-Shot Segmentation
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang
Bairun Wang
Kaige Chen
Xinchi Zhou
Shuai Yi
Wanli Ouyang
Luping Zhou
13
49
0
14 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Atmadeep Banerjee
SSeg
VLM
18
5
0
01 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chen Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
30
205
0
20 Jul 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
31
3
0
23 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
39
105
0
22 Jun 2020
Few-shot Object Detection on Remote Sensing Images
Few-shot Object Detection on Remote Sensing Images
J. Deng
Xiang Li
Yi Fang
ObjD
18
131
0
14 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
26
25
0
08 Jun 2020
Self-Supervised Tuning for Few-Shot Segmentation
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu
Wei Zhai
Zhengjun Zha
Yang Cao
14
28
0
12 Apr 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
24
63
0
18 Mar 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
27
12
0
18 Mar 2020
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