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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

6 March 2019
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
    VLM
    SSeg
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Papers citing "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

41 / 91 papers shown
Title
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
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
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
42
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
70
108
0
06 Aug 2021
Towards the Unseen: Iterative Text Recognition by Distilling from Errors
Towards the Unseen: Iterative Text Recognition by Distilling from Errors
A. Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
38
16
0
26 Jul 2021
Prototypical Cross-Attention Networks for Multiple Object Tracking and
  Segmentation
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke
Xia Li
Martin Danelljan
Yu-Wing Tai
Chi-Keung Tang
Feng Yu
VOS
21
71
0
22 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
23
47
0
01 Jun 2021
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs
  and Position-aware Flow Embedding
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Ruibo Li
Guosheng Lin
Tong He
Fayao Liu
Chunhua Shen
3DPC
41
56
0
17 May 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
26
353
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
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
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region
  Correspondence
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence
Chi Zhang
Guankai Li
Guosheng Lin
Qingyao Wu
Rui Yao
79
26
0
05 Jan 2021
Meticulous Object Segmentation
Meticulous Object Segmentation
Chenglin Yang
Yilin Wang
Jianming Zhang
He Zhang
Zhe-nan Lin
Alan Yuille
19
10
0
13 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
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in
  Endoscopic Video
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
Shan Lin
Fangbo Qin
Haonan Peng
Randall Bly
K. Moe
Blake Hannaford
32
18
0
17 Nov 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
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
48
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
12
5
0
01 Aug 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
46
315
0
23 Jul 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
25
205
0
20 Jul 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
37
105
0
22 Jun 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
33
262
0
18 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
21
25
0
08 Jun 2020
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation
  via Global and Local Refinement
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Ho Kei Cheng
Jihoon Chung
Yu-Wing Tai
Chi-Keung Tang
SSeg
8
206
0
06 May 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
CRNet: Cross-Reference Networks for Few-Shot Segmentation
CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
SSeg
163
192
0
24 Mar 2020
Additive Angular Margin for Few Shot Learning to Classify Clinical
  Endoscopy Images
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Sharib Ali
Binod Bhattarai
Tae-Kyun Kim
J. Rittscher
38
18
0
23 Mar 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Yike Guo
29
0
0
19 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
157
217
0
19 Mar 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
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
27
70
0
09 Mar 2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with
  Visual and Semantic Embeddings
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam
Naren Doraiswamy
Boris N. Oreshkin
Hengshuai Yao
Martin Jägersand
29
8
0
26 Jan 2020
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
38
128
0
17 Apr 2019
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
460
11,715
0
09 Mar 2017
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