Towards Realistic Semi-Supervised Learning

5 July 2022

Papers citing "Towards Realistic Semi-Supervised Learning"

28 / 28 papers shown

Title
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu Lifan Lin Jian Huang Chao Wang 24 0 0 04 Nov 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin Wenbin An Jiahao Wang Yan Chen Feng Tian Mengmeng Wang Guang Dai Qianying Wang Jingdong Wang 32 2 0 29 Sep 2024
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation Ning Gao Sanping Zhou Le Wang Nanning Zheng AI4TS 16 2 0 08 Sep 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition Ishan Rajendrakumar Dave Mamshad Nayeem Rizve Mubarak Shah AI4TS 21 2 0 02 Sep 2024
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery Sarah Rastegar Mohammadreza Salehi Yuki M. Asano Hazel Doughty Cees G. M. Snoek 24 4 0 26 Aug 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning Jiaming Liu Hongyuan Liu Zhili Qin Wei Han Yulu Fan Qinli Yang Junming Shao CLL 41 0 0 19 Aug 2024
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
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 16 0 0 31 May 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong Cai 27 5 0 02 Mar 2024
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Yue Fan Anna Kukleva Dengxin Dai Bernt Schiele 15 8 0 17 Nov 2023
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning Jiansong Zhang Linlin Shen Peizhong Liu SSL 16 0 0 16 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 18 15 0 30 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Joey Tianyi Zhou Yang Feng Jian Wu Haoji Hu 24 9 0 02 Oct 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution Zhimin Sun Shen Chen Taiping Yao Bangjie Yin Ran Yi Shouhong Ding Lizhuang Ma CVBM 8 10 0 20 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos Sarinda Samarasinghe Mamshad Nayeem Rizve Navid Kardan M. Shah 8 11 0 07 Sep 2023
Preserving Modality Structure Improves Multi-Modal Learning Swetha Sirnam Mamshad Nayeem Rizve Nina Shvetsova Hilde Kuehne M. Shah 17 4 0 24 Aug 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee Kenneth Wong 19 16 0 14 Apr 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition I. Dave Mamshad Nayeem Rizve C. L. P. Chen M. Shah TTA 26 13 0 28 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 14 12 0 28 Feb 2023
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery Shengxiang Zhang Salman Khan Zhiqiang Shen Muzammal Naseer Guangyi Chen F. Khan CLL VLM 19 57 0 11 Dec 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan F. Khan M. Shah 15 48 0 05 Jul 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning Jing Yang Xiatian Zhu Adrian Bulat Brais Martínez Georgios Tzimiropoulos 17 6 0 13 May 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 200 501 0 15 Jan 2021
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 133 214 0 19 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
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 279 39,083 0 01 Sep 2014