Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition

14 March 2019

Papers citing "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition"

24 / 24 papers shown

Title
Channel Interaction Networks for Fine-Grained Image Categorization Yu Gao Xintong Han Xun Wang Weilin Huang Matthew R. Scott 110 158 0 11 Mar 2020
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks Adrià Recasens Petr Kellnhofer Simon Stent Wojciech Matusik Antonio Torralba 55 131 0 10 Sep 2018
Learning to Navigate for Fine-grained Classification Ze Yang Tiange Luo Dong Wang Zhiqiang Hu Jun Gao Liwei Wang 39 446 0 02 Sep 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 94 476 0 16 Jun 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming Sun Yuchen Yuan Feng Zhou Errui Ding 132 352 0 14 Jun 2018
Bilinear Attention Networks Jin-Hwa Kim Jaehyun Jun Byoung-Tak Zhang AIMat 66 871 0 21 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 64 146 0 15 May 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization P. Li Jiangtao Xie Qilong Wang Zilin Gao 43 256 0 04 Dec 2017
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 208 8,867 0 21 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 435 129,831 0 12 Jun 2017
Dynamic Computational Time for Visual Attention Zhichao Li Yi Yang Xiao-Chang Liu Feng Zhou Shilei Wen Wenyuan Xu 66 113 0 30 Mar 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 177 18,136 0 02 Jun 2016
Mining Discriminative Triplets of Patches for Fine-Grained Classification Yaming Wang Jonghyun Choi Vlad I. Morariu L. Davis 50 126 0 04 May 2016
Fully Convolutional Attention Networks for Fine-Grained Recognition Xiao-Chang Liu Tian Xia Jiang Wang Yi Yang Feng Zhou Yuanqing Lin 37 102 0 22 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 115 2,243 0 03 Dec 2015
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification L. Yang Ping Luo Chen Change Loy Xiaoou Tang 30 812 0 30 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 257 7,361 0 05 Jun 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 54 412 0 30 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 236 19,523 0 09 Mar 2015
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng Zhang 187 790 0 24 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 920 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets Steve Branson Grant Van Horn Serge J. Belongie Pietro Perona 54 512 0 11 Jun 2014