SSB: Simple but Strong Baseline for Boosting Performance of Open-Set
Semi-Supervised Learning

SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning

17 November 2023

Bernt Schiele

Papers citing "SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning"

8 / 8 papers shown

Title
Unsupervised Learning for Class Distribution Mismatch Pan Du Wangbo Zhao Xinai Lu Nian Liu Z. Li ... Suyun Zhao H. Chen Cuiping Li Kai Wang Yang You 21 0 0 11 May 2025
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
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning Zerun Wang Liuyu Xiang Lang Huang Jiafeng Mao Ling Xiao Toshihiko Yamasaki 11 1 0 26 Sep 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 34 1 0 16 Jul 2024
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 37 44 0 05 Jul 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 215 861 0 15 Oct 2021
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 46 63 0 12 Aug 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 655 0 23 Mar 2020