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PMAL: Open Set Recognition via Robust Prototype Mining

PMAL: Open Set Recognition via Robust Prototype Mining

16 March 2022
Jing Lu
Yunxu Xu
Hao Li
Zhanzhan Cheng
Yi Niu
ArXivPDFHTML

Papers citing "PMAL: Open Set Recognition via Robust Prototype Mining"

9 / 9 papers shown
Title
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
Ali AlShami
Ryan Rabinowitz
Khang Nhut Lam
Yousra Shleibik
Melkamu Mersha
Terrance Boult
Jugal Kalita
MU
72
1
0
22 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
61
0
0
31 Dec 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang
Chuanxing Geng
P. Yuen
Songcan Chen
31
0
0
27 Apr 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
30
3
0
25 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
27
2
0
14 Dec 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
30
27
0
07 Jul 2023
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
147
216
0
19 Mar 2020
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
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
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