Balancing Specialization, Generalization, and Compression for Detection and Tracking

25 September 2019

Papers citing "Balancing Specialization, Generalization, and Compression for Detection and Tracking"

7 / 7 papers shown

Title
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks Koby Bibas Yaniv Fogel M. Feder BDL 45 19 0 28 Apr 2019
Precise Detection in Densely Packed Scenes Eran Goldman Roei Herzig Aviv Eisenschtat Oria Ratzon Itsik Levi Jacob Goldberger Tal Hassner 51 187 0 01 Apr 2019
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism Qi Chu Wanli Ouyang Hongsheng Li Xiaogang Wang Bin Liu Nenghai Yu VOT 48 347 0 09 Aug 2017
CREST: Convolutional Residual Learning for Visual Tracking Yibing Song Chao Ma Lijun Gong Jiawei Zhang Rynson W. H. Lau Ming-Hsuan Yang 70 487 0 01 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 196 2,521 0 19 Jul 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 150 5,635 0 20 May 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 285 6,660 0 08 Jun 2015