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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

14 August 2020
Xianghui Yang
Bairun Wang
Kaige Chen
Xinchi Zhou
Shuai Yi
Wanli Ouyang
Luping Zhou
ArXivPDFHTML

Papers citing "BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation"

31 / 31 papers shown
Title
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou
Xinchi Zhou
Hongwen Zhang
Shuai Yi
Wanli Ouyang
VLM
51
16
0
25 Apr 2020
One-Shot Object Detection with Co-Attention and Co-Excitation
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh
Yi-Chen Lo
Hwann-Tzong Chen
Tyng-Luh Liu
ObjD
91
165
0
28 Nov 2019
A New Local Transformation Module for Few-shot Segmentation
A New Local Transformation Module for Few-shot Segmentation
Yuwei Yang
Fanman Meng
Hongliang Li
Qingbo Wu
Xiaolong Xu
Shuai Chen
ViT
39
36
0
14 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
99
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
47
1,058
0
18 Aug 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
61
540
0
06 Mar 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
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
239
353
0
12 Jun 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
64
118
0
25 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
157
13,051
0
07 Feb 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
85
676
0
16 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
218
8,867
0
21 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
205
4,035
0
16 Nov 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
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
344
26,241
0
05 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
170
8,425
0
17 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
307
27,018
0
20 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
218
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
763
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
381
11,941
0
04 Dec 2016
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
236
2,835
0
20 Nov 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
54
470
0
16 Jun 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
187
18,136
0
02 Jun 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
789
15,718
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
277
24,976
0
30 Apr 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
110
4,882
0
22 Dec 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
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
286
43,290
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
227
26,122
0
11 Nov 2013
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