Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

25 March 2022

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

22 / 22 papers shown

Title
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 293 641 0 19 Sep 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng VLM 39 1,058 0 18 Aug 2019
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Trong-Nguyen Nguyen J. Meunier 77 345 0 17 Aug 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 34 1,254 0 04 Apr 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 93 401 0 18 Mar 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 47 771 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 111 1,366 0 16 Jul 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 90 1,310 0 23 May 2018
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 107 1,468 0 12 Jan 2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers Eunbyung Park Alexander C. Berg VOT TTA 48 166 0 09 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 95 1,069 0 28 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 199 4,035 0 16 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 82 1,404 0 10 Oct 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 75 699 0 11 Sep 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 194 7,961 0 22 May 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 209 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 79 1,064 0 02 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 80 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 286 7,286 0 13 Jun 2016
Learning Temporal Regularity in Video Sequences Mahmudul Hasan Jonghyun Choi J. Neumann Amit K. Roy-Chowdhury L. Davis 111 1,096 0 15 Apr 2016
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection Dan Xu Elisa Ricci Yan Yan Jingkuan Song N. Sebe 109 512 0 06 Oct 2015