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OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

5 July 2022
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
F. Khan
M. Shah
ArXivPDFHTML

Papers citing "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning"

35 / 35 papers shown
Title
Few-shot Novel Category Discovery
Few-shot Novel Category Discovery
Chunming Li
Shidong Wang
Haofeng Zhang
14
0
0
13 May 2025
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Ming-Hui Liu
Xiao-Qian Liu
Xin Luo
Xin-Shun Xu
54
0
0
07 May 2025
Enhancing Novel Object Detection via Cooperative Foundational Models
Enhancing Novel Object Detection via Cooperative Foundational Models
Rohit K Bharadwaj
Muzammal Naseer
Salman Khan
F. Khan
ObjD
VLM
121
1
0
17 Jan 2025
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
77
0
0
10 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
26
0
0
04 Nov 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for
  Semi-Supervised Fine-Grained Action Recognition
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
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
61
4
0
08 Aug 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
34
1
0
16 Jul 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
24
0
0
31 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He
Lijian Li
21
0
0
23 May 2024
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
Yu Liu
Yaqi Cai
Qi Jia
Binglin Qiu
Weimin Wang
Nan Pu
21
5
0
10 May 2024
Open-World Semi-Supervised Learning for Node Classification
Open-World Semi-Supervised Learning for Node Classification
Yanling Wang
Jing Zhang
Lingxi Zhang
Lixin Liu
Yuxiao Dong
Cuiping Li
Hong Chen
Hongzhi Yin
BDL
33
0
0
18 Mar 2024
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
29
2
0
04 Dec 2023
Generalized Categories Discovery for Long-tailed Recognition
Generalized Categories Discovery for Long-tailed Recognition
Ziyun Li
Christoph Meinel
Haojin Yang
23
3
0
04 Dec 2023
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
Yue Fan
Anna Kukleva
Dengxin Dai
Bernt Schiele
22
8
0
17 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised
  Learning
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun
Zhenmei Shi
Yixuan Li
OffRL
27
20
0
06 Nov 2023
Towards Distribution-Agnostic Generalized Category Discovery
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
37
9
0
02 Oct 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
10
21
0
20 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Sarinda Samarasinghe
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
13
11
0
07 Sep 2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised
  Learning
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning
Xuwei Tan
Yi-Jie Huang
Yaqian Li
20
0
0
29 Aug 2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
Noam Fluss
Guy Hacohen
D. Weinshall
21
1
0
27 Aug 2023
Reinforcement Learning Based Multi-modal Feature Fusion Network for
  Novel Class Discovery
Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery
Qiang Li
Qiuyang Ma
Weizhi Nie
Anan Liu
OffRL
17
0
0
26 Aug 2023
Semi-Supervised Learning via Weight-aware Distillation under Class
  Distribution Mismatch
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Pan Du
Suyun Zhao
Zisen Sheng
Cuiping Li
Hong Chen
17
5
0
23 Aug 2023
A Critical Look at the Current Usage of Foundation Model for Dense
  Recognition Task
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
Shiqi Yang
Atsushi Hashimoto
Yoshitaka Ushiku
DiffM
VLM
33
1
0
06 Jul 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee Kenneth Wong
34
16
0
14 Apr 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video
  Representations for Semi-Supervised Action Recognition
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
36
15
0
28 Mar 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
19
21
0
22 Feb 2023
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
37
39
0
04 Aug 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
37
44
0
05 Jul 2022
Joint Representation Learning and Novel Category Discovery on Single-
  and Multi-modal Data
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
147
57
0
26 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
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
206
506
0
15 Jan 2021
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
139
216
0
19 Mar 2020
Open-set learning with augmented categories by exploiting unlabelled
  data
Open-set learning with augmented categories by exploiting unlabelled data
E. Engelbrecht
J. D. Preez
17
0
0
04 Feb 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
240
780
0
05 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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