The Devil is in the Tails: Fine-grained Classification in the Wild

5 September 2017

Papers citing "The Devil is in the Tails: Fine-grained Classification in the Wild"

23 / 23 papers shown

Title
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 187 464 0 09 Aug 2020
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 105 677 0 30 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition J. Krause Benjamin Sapp Andrew Howard Howard Zhou Alexander Toshev Tom Duerig James Philbin Fei-Fei Li 71 364 0 20 Nov 2015
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 64 215 0 18 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 80 1,370 0 08 Oct 2015
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization Kevin J. Shih Arun Mallya Saurabh Singh Derek Hoiem 45 43 0 22 Jul 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 69 412 0 30 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition Tsung-Yu Lin Aruni RoyChowdhury Subhransu Maji 133 1,875 0 29 Apr 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,199 0 10 Feb 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 207 792 0 24 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 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 1.7K 39,547 0 01 Sep 2014
Part-based R-CNNs for Fine-grained Category Detection Ning Zhang Jeff Donahue Ross B. Girshick Trevor Darrell ObjD 114 1,224 0 15 Jul 2014
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross B. Girshick Jitendra Malik SSL 115 444 0 07 Jul 2014
Factors of Transferability for a Generic ConvNet Representation Hossein Azizpour A. Razavian Josephine Sullivan A. Maki S. Carlsson 68 421 0 22 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 157 4,940 0 23 Mar 2014
Some Improvements on Deep Convolutional Neural Network Based Image Classification Andrew G. Howard VLM 135 436 0 19 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,193 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 186 4,950 0 06 Oct 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 123 2,261 0 21 Jun 2013