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CobNet: Cross Attention on Object and Background for Few-Shot
  Segmentation

CobNet: Cross Attention on Object and Background for Few-Shot Segmentation

21 October 2022
Haoyan Guan
Michael W. Spratling
ArXivPDFHTML

Papers citing "CobNet: Cross Attention on Object and Background for Few-Shot Segmentation"

28 / 28 papers shown
Title
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
184
174
0
06 Aug 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
70
47
0
01 Jun 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
67
359
0
05 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
204
189
0
11 Dec 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
38
49
0
14 Aug 2020
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
29
512
0
04 Aug 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
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
69
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
34
1,058
0
18 Aug 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
66
1,802
0
10 Apr 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
53
540
0
06 Mar 2019
One-Shot Unsupervised Cross Domain Translation
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim
Lior Wolf
38
131
0
15 Jun 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
70
1,245
0
23 Mar 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
46
505
0
26 Jan 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
79
676
0
16 Jan 2018
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
70
699
0
11 Sep 2017
Few-Shot Learning Through an Information Retrieval Lens
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
34
238
0
09 Jul 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
742
11,793
0
09 Mar 2017
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
216
2,835
0
20 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
152
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
249
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
1.1K
192,638
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
512
36,643
0
08 Jun 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
147
4,166
0
17 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
711
99,991
0
04 Sep 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
VLM
ObjD
898
39,383
0
01 Sep 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
85
1,291
0
07 Jul 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
163
43,290
0
01 May 2014
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