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Improving Open-Set Semi-Supervised Learning with Self-Supervision

Improving Open-Set Semi-Supervised Learning with Self-Supervision

24 January 2023
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
ArXivPDFHTML

Papers citing "Improving Open-Set Semi-Supervised Learning with Self-Supervision"

9 / 9 papers shown
Title
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning
You Rim Choi
Subeom Park
Seojun Heo
Eunchung Noh
Hyung-Sin Kim
OODD
47
0
0
17 Apr 2025
Ño' Matters: Out-of-Distribution Detection in Multimodality Long
  Dialogue
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
37
0
0
31 Oct 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
29
1
0
16 Jul 2024
Semi-Supervised Object Detection with Uncurated Unlabeled Data for
  Remote Sensing Images
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
Nanqing Liu
Xun Xu
Yingjie Gao
Heng-Chao Li
38
12
0
09 Oct 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
170
251
0
15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
204
848
0
15 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
155
401
0
12 Oct 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
34
52
0
12 Aug 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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