ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning

20 August 2019

Papers citing "ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning"

11 / 11 papers shown

Title
FIVR: Fine-grained Incident Video Retrieval Giorgos Kordopatis-Zilos Symeon Papadopoulos Ioannis Patras I. Kompatsiaris 27 60 0 11 Sep 2018
Video Re-localization Yang Feng Lin Ma Wen Liu Tong Zhang Jiebo Luo 83 71 0 05 Aug 2018
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song Hanwang Zhang Xiangpeng Li Lianli Gao Ming Wang Richang Hong 51 246 0 07 Feb 2018
Fine-tuning CNN Image Retrieval with No Human Annotation Filip Radenovic Giorgos Tolias Ondřej Chum 60 1,294 0 03 Nov 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 194 7,961 0 22 May 2017
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang Timothy M. Hospedales 53 255 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Particular object retrieval with integral max-pooling of CNN activations Giorgos Tolias R. Sicre Hervé Jégou 71 967 0 18 Nov 2015
Aggregating Deep Convolutional Features for Image Retrieval Artem Babenko Victor Lempitsky FAtt 49 692 0 26 Oct 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 806 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 923 99,991 0 04 Sep 2014