ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.08954
  4. Cited By
Uncertainty-Aware Semi-Supervised Few Shot Segmentation

Uncertainty-Aware Semi-Supervised Few Shot Segmentation

18 October 2021
Soopil Kim
Philip Chikontwe
Sang Hyun Park
ArXivPDFHTML

Papers citing "Uncertainty-Aware Semi-Supervised Few Shot Segmentation"

12 / 12 papers shown
Title
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
76
295
0
04 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
225
190
0
11 Dec 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
205
194
0
24 Mar 2020
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery
  Classification
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
Sion An
Soopil Kim
Philip Chikontwe
Sang Hyun Park
41
42
0
03 Mar 2020
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
105
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
1,064
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
543
0
06 Mar 2019
Conditional Neural Processes
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCV
BDL
85
700
0
04 Jul 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
202
8,455
0
17 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
250
3,114
0
19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
330
4,700
0
15 Mar 2017
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
234
2,619
0
29 Jun 2012
1