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Dense Gaussian Processes for Few-Shot Segmentation

Dense Gaussian Processes for Few-Shot Segmentation

7 October 2021
Joakim Johnander
Johan Edstedt
Michael Felsberg
Fahad Shahbaz Khan
Martin Danelljan
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Papers citing "Dense Gaussian Processes for Few-Shot Segmentation"

15 / 15 papers shown
Title
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
88
364
0
05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
83
296
0
04 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang
Jimin Xiao
Terry Qin
62
166
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
65
126
0
29 Mar 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
228
190
0
11 Dec 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma
  Augmented Gaussian Processes
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
73
63
0
20 Jul 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
217
195
0
24 Mar 2020
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
108
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
51
1,069
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
66
544
0
06 Mar 2019
Learning a Discriminative Feature Network for Semantic Segmentation
Learning a Discriminative Feature Network for Semantic Segmentation
Changqian Yu
Jingbo Wang
Chao Peng
Changxin Gao
Gang Yu
Nong Sang
SSeg
50
761
0
25 Apr 2018
Unveiling the Power of Deep Tracking
Unveiling the Power of Deep Tracking
Goutam Bhat
Joakim Johnander
Martin Danelljan
Fahad Shahbaz Khan
Michael Felsberg
63
405
0
18 Apr 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
105
704
0
11 Sep 2017
Deep Kernel Learning
Deep Kernel Learning
A. Wilson
Zhiting Hu
Ruslan Salakhutdinov
Eric Xing
BDL
246
886
0
06 Nov 2015
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
170
273
0
24 Feb 2014
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