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2406.02831
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Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
5 June 2024
Jash Dalvi
Ali Dabouei
Gunjan Dhanuka
Min Xu
Re-assign community
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Papers citing
"Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection"
30 / 30 papers shown
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yukang Chen
Zhengzhe Liu
Baoheng Zhang
W. Fok
Xiaojuan Qi
Yik-Chung Wu
269
183
0
28 Nov 2022
Frozen CLIP Models are Efficient Video Learners
European Conference on Computer Vision (ECCV), 2022
Ziyi Lin
Shijie Geng
Renrui Zhang
Shiyang Feng
Gerard de Melo
Xiaogang Wang
Jifeng Dai
Yu Qiao
Jiaming Song
CLIP
VLM
247
253
0
06 Aug 2022
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu
Yongwei Nie
Chengjiang Long
Qing Zhang
Guiqing Li
360
306
0
16 Aug 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Jianfeng Feng
Fa-Ting Hong
Weishi Zheng
220
313
0
04 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
International Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
2.0K
40,975
0
26 Feb 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
467
426
0
25 Jan 2021
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
European Conference on Computer Vision (ECCV), 2020
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
294
161
0
24 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
SSL
410
313
0
15 Nov 2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
ACM Multimedia (ACM MM), 2020
Guang Yu
Siqi Wang
Zhiping Cai
En Zhu
Chuanfu Xu
Jianping Yin
Matthias Kirchler
217
216
0
27 Aug 2020
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
European Conference on Computer Vision (ECCV), 2020
Peng Wu
Jing Liu
Yujia Shi
Yujia Sun
Fang Shao
Zhaoyang Wu
Zhiwei Yang
250
418
0
09 Jul 2020
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang
M. Sabuncu
185
125
0
09 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
615
3,379
0
05 Jun 2020
Learning Memory-guided Normality for Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2020
Hyunjong Park
Jongyoun Noh
Bumsub Ham
237
796
0
30 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Neural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
976
48,574
0
03 Dec 2019
Contrastive Representation Distillation
International Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
1.3K
1,207
0
23 Oct 2019
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Advanced Video and Signal Based Surveillance (AVSS), 2019
Yiwei Lu
Mahesh Kumar Krishna Reddy
Seyed shahabeddin Nabavi
Yang Wang
DRL
200
107
0
05 Sep 2019
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
IEEE International Conference on Computer Vision (ICCV), 2019
Jue Wang
A. Cherian
CML
171
147
0
16 Aug 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2019
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
249
482
0
18 Mar 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
AAAI Conference on Artificial Intelligence (AAAI), 2018
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
246
586
0
08 Nov 2018
S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks
British Machine Vision Conference (BMVC), 2018
Da Zhang
Xiyang Dai
Xin Eric Wang
Yuan-fang Wang
3DPC
179
60
0
21 Jul 2018
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
1.7K
12,147
0
10 Jul 2018
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani
Chen Chen
M. Shah
AI4TS
512
1,777
0
12 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
408
1,263
0
28 Dec 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
772
8,991
0
22 May 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
538
2,893
0
12 Dec 2016
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
291
1,253
0
15 Apr 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
346
3,203
0
14 Nov 2015
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu
Elisa Ricci
Yan Yan
Jingkuan Song
Andrii Zadaianchuk
305
535
0
06 Oct 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
797
22,387
0
09 Mar 2015
FitNets: Hints for Thin Deep Nets
International Conference on Learning Representations (ICLR), 2014
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
1.3K
4,357
0
19 Dec 2014
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