Dynamic Computational Time for Visual Attention

30 March 2017

Yi Yang

Papers citing "Dynamic Computational Time for Visual Attention"

21 / 21 papers shown

Title
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 24 10 0 06 Feb 2023
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 35 7 0 30 Nov 2022
Fine-Grained Visual Classification using Self Assessment Classifier Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen 37 12 0 21 May 2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector Xin Hu Zhenyu Wu Haoyuan Miao Siqi Fan Taiyu Long ... Pengcheng Pi Yi Wu Zhou Ren Zhangyang Wang G. Hua 24 2 0 09 Apr 2022
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection B. Bejnordi A. Habibian Fatih Porikli Amir Ghodrati 42 12 0 05 Apr 2022
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Human Attention in Fine-grained Classification Yao Rong Wenjia Xu Zeynep Akata Enkelejda Kasneci 45 35 0 02 Nov 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 34 114 0 30 Apr 2021
Differentiable Patch Selection for Image Recognition Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner 33 93 0 07 Apr 2021
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition Shaokang Yang Shuai Liu Cheng Yang Changhu Wang 30 32 0 19 Feb 2021
Volumetric Transformer Networks Seungryong Kim Sabine Süsstrunk Mathieu Salzmann ViT 30 5 0 18 Jul 2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers Saeed Anwar Nick Barnes L. Petersson 19 6 0 24 Mar 2020
Channel Interaction Networks for Fine-Grained Image Categorization Yu Gao Xintong Han Xun Wang Weilin Huang Matthew R. Scott 74 157 0 11 Mar 2020
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes Guolei Sun Hisham Cholakkal Salman Khan Fahad Shahbaz Khan Ling Shao 26 114 0 14 Dec 2019
Cross-X Learning for Fine-Grained Visual Categorization W. Luo Xitong Yang Xianjie Mo Yuheng Lu L. Davis Jun Li Jian Yang Ser-Nam Lim 85 193 0 10 Sep 2019
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection Mason Liu Menglong Zhu Marie White Yinxiao Li Dmitry Kalenichenko 23 83 0 25 Mar 2019
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition Heliang Zheng Jianlong Fu Zhengjun Zha Jiebo Luo 13 382 0 14 Mar 2019
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks Adrià Recasens Petr Kellnhofer Simon Stent Wojciech Matusik Antonio Torralba 31 131 0 10 Sep 2018
Learning to Navigate for Fine-grained Classification Ze Yang Tiange Luo Dong Wang Zhiqiang Hu Jun Gao Liwei Wang 19 444 0 02 Sep 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,310 0 23 May 2018
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 167 1,464 0 06 Jun 2016