Analyzing the Performance of Multilayer Neural Networks for Object Recognition

7 July 2014

Papers citing "Analyzing the Performance of Multilayer Neural Networks for Object Recognition"

50 / 153 papers shown

Title
Manifestation of Image Contrast in Deep Networks A. Akbarinia K. Gegenfurtner 19 4 0 12 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 34 720 0 28 Jan 2019
Retrieving Similar E-Commerce Images Using Deep Learning Rishab Sharma Anirudha Vishvakarma DML 15 21 0 11 Jan 2019
Understanding Individual Decisions of CNNs via Contrastive Backpropagation Jindong Gu Yinchong Yang Volker Tresp FAtt 17 94 0 05 Dec 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 47 1,077 0 21 Nov 2018
Transfer Learning Using Classification Layer Features of CNN Tasfia Shermin Manzur Murshed Guojun Lu S. Teng 19 6 0 19 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 27 108 0 16 Nov 2018
Brand > Logo: Visual Analysis of Fashion Brands M. Kiapour Robinson Piramuthu 11 7 0 23 Oct 2018
Learning Effective RGB-D Representations for Scene Recognition Xinhang Song Shuqiang Jiang Luis Herranz Chengpeng Chen 3DV 15 49 0 17 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 74 2,422 0 06 Sep 2018
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria Keze Wang Liang Lin Xiaopeng Yan Ziliang Chen Dongyu Zhang Lei Zhang ObjD 25 32 0 30 Jun 2018
Model-based active learning to detect isometric deformable objects in the wild with deep architectures Shrinivasan Sankar Adrien Bartoli ObjD 14 2 0 07 Jun 2018
Layer rotation: a surprisingly powerful indicator of generalization in deep networks? Simon Carbonnelle Christophe De Vleeschouwer MLT 11 1 0 05 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,310 0 23 May 2018
Efficient end-to-end learning for quantizable representations Yeonwoo Jeong Hyun Oh Song MQ 17 10 0 15 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe L. V. D. van der Maaten VLM 98 1,356 0 02 May 2018
Class Subset Selection for Transfer Learning using Submodularity Varun Manjunatha Srikumar Ramalingam Tim K. Marks L. Davis 23 6 0 30 Mar 2018
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis Hajime Taira Masatoshi Okutomi Torsten Sattler Mircea Cimpoi Marc Pollefeys Josef Sivic Tomas Pajdla Akihiko Torii 3DV 6 35 0 28 Mar 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 27 98 0 23 Mar 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 18 329 0 19 Mar 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 38 87 0 02 Feb 2018
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs Xinhang Song Luis Herranz Shuqiang Jiang 12 67 0 21 Jan 2018
ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation A. Alahmadi M. Hussain Hatim Aboalsamh M. Zuair 14 16 0 16 Jan 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 13 263 0 10 Jan 2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection Yuxing Tang Josiah Wang Xiaofang Wang Boyang Gao Emmanuel Dellandrea R. Gaizauskas Liming Chen ObjD 21 115 0 09 Jan 2018
Few-shot Learning by Exploiting Visual Concepts within CNNs Boyang Deng Qing Liu Siyuan Qiao Alan Yuille 31 4 0 22 Nov 2017
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 29 323 0 15 Nov 2017
A Correlation Based Feature Representation for First-Person Activity Recognition R. Kahani Alireza Talebpour Ahmad Mahmoudi-Aznaveh 16 12 0 15 Nov 2017
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification Yoshihide Sawada Yoshikuni Sato Toru Nakada Kei Ujimoto N. Hayashi 16 12 0 13 Nov 2017
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence Tianlu Wang Kota Yamaguchi Vicente Ordonez 36 12 0 23 Oct 2017
Are we done with object recognition? The iCub robot's perspective Giulia Pasquale C. Ciliberto Francesca Odone Lorenzo Rosasco Lorenzo Natale 13 41 0 28 Sep 2017
Image similarity using Deep CNN and Curriculum Learning Srikar Appalaraju Vineet Chaoji SSL 6 65 0 26 Sep 2017
Embedding Deep Networks into Visual Explanations Zhongang Qi Saeed Khorram Fuxin Li 32 27 0 15 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 34 205 0 05 Sep 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 39 127 0 18 Aug 2017
Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition Shihao Zhang Weiyao Lin Ping Lu Weihua Li Shuo Deng ObjD 11 12 0 12 Aug 2017
Semantic Segmentation with Reverse Attention Qin Huang Chunyang Xia Chi-Hao Wu Siyang Li Yeon-Chang Wang Yuhang Song C.-C. Jay Kuo SSeg 39 66 0 20 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 43 2,363 0 10 Jul 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 29 6 0 10 Jul 2017
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars M. Ramanagopal Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 35 104 0 30 Jun 2017
The High-Dimensional Geometry of Binary Neural Networks Alexander G. Anderson C. P. Berg MQ 35 75 0 19 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 23 1,497 1 19 Apr 2017
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation O. Jafari Oliver Groth Alexander Kirillov M. Yang Carsten Rother 3DV 20 63 0 26 Feb 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 29 120 0 21 Feb 2017
Visual Discovery at Pinterest Andrew Zhai Dmitry Kislyuk Yushi Jing Michael Feng Eric Tzeng Jeff Donahue Yue Li Du Trevor Darrell 6 81 0 15 Feb 2017
Action-Driven Object Detection with Top-Down Visual Attentions Donggeun Yoo Sunggyun Park K. Paeng Joon-Young Lee In So Kweon ObjD 21 6 0 20 Dec 2016
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes Christoph Käding E. Rodner Alexander Freytag Joachim Denzler VLM BDL CLL 11 61 0 19 Dec 2016
Deep Function Machines: Generalized Neural Networks for Topological Layer Expression William H. Guss AI4CE 14 12 0 14 Dec 2016
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition Yaming Wang Vlad I. Morariu L. Davis 21 10 0 29 Nov 2016
Object Detection Free Instance Segmentation With Labeling Transformations Long Jin Zeyu Chen Zhuowen Tu ISeg 23 16 0 28 Nov 2016