Putting visual object recognition in context

17 November 2019

Papers citing "Putting visual object recognition in context"

23 / 23 papers shown

Title
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 89 561 0 20 Mar 2019
Lift-the-flap: what, where and when for context reasoning Mengmi Zhang Jiashi Feng Karla Montejo Joseph Kwon Gabriel Kreiman ReLM LRM 31 3 0 01 Feb 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 100 2,670 0 29 Nov 2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets Nikita Dvornik Julien Mairal Cordelia Schmid 74 245 0 19 Jul 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 92 849 0 13 Jul 2018
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships Yong-Jin Liu Ruiping Wang Shiguang Shan Xilin Chen ObjD 74 229 0 30 Jun 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 120 21,447 0 08 Apr 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li Li Li Fei-Fei Abhinav Gupta LRM GNN 187 216 0 29 Mar 2018
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition K. Wu Eric Wu Gabriel Kreiman 41 25 0 06 Mar 2018
Recurrent computations for visual pattern completion Hanlin Tang Martin Schrimpf William Lotter Charlotte Moerman Ana Paredes Josue Ortega Caro Walter Hardesty David D. Cox Gabriel Kreiman 55 211 0 07 Jun 2017
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing J. Sun David Jacobs SSL 42 41 0 26 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 533 1,410 0 01 Dec 2016
Graph-Structured Representations for Visual Question Answering Damien Teney Lingqiao Liu Anton Van Den Hengel GNN NAI 99 420 0 19 Sep 2016
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 251 18,232 0 02 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,985 0 23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Learning Structured Inference Neural Networks with Label Relations Hexiang Hu Guang-Tong Zhou Zhiwei Deng Zicheng Liao Greg Mori NAI BDL 80 126 0 17 Nov 2015
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition Zhiwei Deng Arash Vahdat Hexiang Hu Greg Mori BDL GNN 53 242 0 13 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 697 36,958 0 08 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 346 10,070 0 10 Feb 2015
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 137 2,776 0 08 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 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