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Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

25 March 2022
Jaeyoo Park
Junha Kim
Bohyung Han
    OffRL
ArXivPDFHTML

Papers citing "Learning to Adapt to Unseen Abnormal Activities under Weak Supervision"

6 / 6 papers shown
Title
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Abhishek Aich
Kuan-Chuan Peng
A. Roy-Chowdhury
21
24
0
14 Dec 2022
Overlooked Video Classification in Weakly Supervised Video Anomaly
  Detection
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
Weijun Tan
Qi Yao
Jingfeng Liu
AI4TS
19
10
0
13 Oct 2022
Anomaly Crossing: New Horizons for Video Anomaly Detection as
  Cross-domain Few-shot Learning
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun
Zhangpu Liu
Lianggong Wen
Jing Shi
Chenliang Xu
14
3
0
12 Dec 2021
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
440
0
28 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 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
11,568
0
09 Mar 2017
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