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Hierarchical Novelty Detection for Visual Object Recognition

Hierarchical Novelty Detection for Visual Object Recognition

2 April 2018
Kibok Lee
Kimin Lee
Kyle Min
Y. Zhang
Jinwoo Shin
Honglak Lee
    BDL
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Papers citing "Hierarchical Novelty Detection for Visual Object Recognition"

13 / 13 papers shown
Title
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
83
14
0
09 Dec 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Xiang Fang
Arvind Easwaran
B. Genest
36
4
0
16 Sep 2024
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing
  Mistake Severity
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
Tong Liang
Jim Davis
30
10
0
10 Mar 2023
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
877
0
21 Oct 2021
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk
  Minimization
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
Yubin Ge
Site Li
Xuyang Li
Fangfang Fan
Wanqing Xie
J. You
Xiaofeng Liu
39
8
0
30 Apr 2021
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
P. Krishnamurthy
S. Garg
Farshad Khorrami
AAML
25
14
0
04 Nov 2020
Multi-class Novelty Detection Using Mix-up Technique
Multi-class Novelty Detection Using Mix-up Technique
Supritam Bhattacharjee
Devraj Mandal
Soma Biswas
22
14
0
11 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
29
201
0
29 Mar 2019
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
36
756
0
21 Nov 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
21
1,994
0
10 Jul 2018
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
276
5,660
0
05 Dec 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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