Unsupervised Semantic Aggregation and Deformable Template Matching for
Semi-Supervised Learning

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

12 October 2020

Papers citing "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning"

17 / 17 papers shown

Title
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu Lifan Lin Jian Huang Chao Wang 29 0 0 04 Nov 2024
Imbalanced Aircraft Data Anomaly Detection Hao Yang Junyuan Gao Yuan. Yuan Xuelong Li AI4TS 16 4 0 17 May 2023
Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia Jiaqi Lv Ning Xu Gang Niu Xin Geng VLM SSL 31 25 0 10 May 2023
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 13 1 0 19 Feb 2023
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Yangbangyan Jiang Xiaodan Li Xiaodan Li YueFeng Chen Yuan He Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 9 18 0 26 Sep 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 20 10 0 25 Aug 2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand SSL 11 12 0 11 May 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 41 25 0 22 Jan 2022
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images Thomas Lucas Philippe Weinzaepfel Grégory Rogez SSL 14 30 0 22 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 6 1 0 15 Dec 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 31 32 0 26 Oct 2021
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization Rui Qian Yuxi Li Huabin Liu John See Shuangrui Ding Xian Liu Dian Li Weiyao Lin 30 42 0 04 Aug 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 31 62 0 10 Jun 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 29 34 0 21 Mar 2021
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction Oren Yuval Saharon Rosset 6 3 0 01 Sep 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 177 497 0 08 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 1,275 0 06 Mar 2017