Deep Residual Learning for Image Recognition

10 December 2015

Papers citing "Deep Residual Learning for Image Recognition"

37 / 18,187 papers shown

Title
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen Xiaojuan Qi Lequan Yu Pheng-Ann Heng MedIm 22 575 0 10 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos Kai Kang Hongsheng Li Junjie Yan Xingyu Zeng Binh Yang ... Cong Zhang Zhe Wang Ruohui Wang Xiaogang Wang Wanli Ouyang ObjD 21 477 0 09 Apr 2016
Person Re-identification in the Wild Liang Zheng Hengheng Zhang Shaoyan Sun Manmohan Chandraker Yi Yang Q. Tian 11 681 0 09 Apr 2016
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition Ziyan Wang Jiwen Lu Ruogu Lin Jianjiang Feng Jie zhou 21 29 0 06 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition Brendan Jou Shih-Fu Chang ObjD 19 91 0 05 Apr 2016
Deep Image Retrieval: Learning global representations for image search Albert Gordo Jon Almazán Jérôme Revaud Diane Larlus 21 800 0 05 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Chris Choy Danfei Xu JunYoung Gwak Kevin Chen Silvio Savarese 3DV 6 1,704 0 02 Apr 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 37 2,335 0 30 Mar 2016
Rich Image Captioning in the Wild Kenneth Tran Xiaodong He Lei Zhang Jian Sun Cornelia Carapcea Chris Thrasher Chris Buehler Chris Sienkiewicz VLM 11 123 0 30 Mar 2016
Pointing the Unknown Words Çağlar Gülçehre Sungjin Ahn Ramesh Nallapati Bowen Zhou Yoshua Bengio 11 524 0 26 Mar 2016
Attentive Contexts for Object Detection Jianan Li Yunchao Wei Xiaodan Liang Jian Dong Tingfa Xu Jiashi Feng Shuicheng Yan ObjD 9 221 0 24 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning Jiatao Gu Zhengdong Lu Hang Li V. Li 13 1,533 0 21 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks Alex Gomez-Villa Augusto Salazar J. Vargas-Bonilla 18 299 0 20 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? G. Urban Krzysztof J. Geras Samira Ebrahimi Kahou Ozlem Aslan Shengjie Wang R. Caruana Abdel-rahman Mohamed Matthai Philipose Matthew Richardson 15 47 0 17 Mar 2016
"What happens if..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi Mohammad Rastegari Abhinav Gupta Ali Farhadi OOD 19 123 0 17 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation Zhicheng Yan H. M. Zhang Yangqing Jia Thomas Breuel Yizhou Yu SSeg 16 41 0 15 Mar 2016
Network Morphism Tao Wei Changhu Wang Y. Rui C. L. P. Chen 18 176 0 05 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition Rajeev Ranjan Vishal M. Patel Rama Chellappa CVBM 3DH 18 1,219 0 03 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 19 425 0 03 Mar 2016
Scalable Metric Learning via Weighted Approximate Rank Component Analysis C. Jose F. Fleuret 13 141 0 01 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing Ryan Spring Anshumali Shrivastava 11 132 0 26 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters Hanjoo Kim Jaehong Park Jaehee Jang Sungroh Yoon BDL 24 37 0 26 Feb 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 11 1,923 0 25 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 23 1,479 0 14 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 16 362 0 08 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection Guiying Li Junlong Liu Chunhui Jiang Liangpeng Zhang Minlong Lin Ke Tang ObjD 21 7 0 25 Jan 2016
Adaptive Object Detection Using Adjacency and Zoom Prediction Y. Lu T. Javidi Svetlana Lazebnik ObjD 26 75 0 24 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop Yin Cui Feng Zhou Yuanqing Lin Serge J. Belongie 15 236 0 16 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai Kaiming He Jian-jun Sun SSeg 21 1,225 0 14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks Sean Bell C. L. Zitnick Kavita Bala Ross B. Girshick ObjD 27 1,204 0 14 Dec 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 17 603 0 19 Nov 2015
Semantic Amodal Segmentation Yan Zhu Yuandong Tian Dimitris N. Metaxas Piotr Dollár VLM 20 170 0 04 Sep 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian-jun Sun AIMat ObjD 46 61,499 0 04 Jun 2015
Color Image Classification via Quaternion Principal Component Analysis Network Rui Zeng Jiasong Wu Zhuhong Shao Yang Chen L. Senhadji H. Shu 16 71 0 05 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 26 42,993 0 11 Feb 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,633 0 03 Jul 2012