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What makes ImageNet good for transfer learning?

30 August 2016

Papers citing "What makes ImageNet good for transfer learning?"

20 / 320 papers shown

Title
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching Andy Zeng Shuran Song Kuan-Ting Yu E. Donlon F. Hogan ... Druck Green Ian H. Taylor Weber Liu Thomas Funkhouser Alberto Rodriguez 434 659 0 03 Oct 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 297 811 0 11 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 187 214 0 05 Sep 2017
What Actions are Needed for Understanding Human Actions in Videos?IEEE International Conference on Computer Vision (ICCV), 2017 Gunnar Sigurdsson Olga Russakovsky Abhinav Gupta 153 135 0 09 Aug 2017
Analysis and Optimization of Convolutional Neural Network Architectures Martin Thoma 161 75 0 31 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey Hirokatsu Kataoka Soma Shirakabe Yun He S. Ueta Teppei Suzuki ... Ryousuke Takasawa Masataka Fuchida Yudai Miyashita Kazushige Okayasu Yuta Matsuzaki 189 1 0 20 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 390 2,593 0 10 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li Guotai Wang Lucas Fidon Sebastien Ourselin M. Jorge Cardoso Tom Vercauteren 3DV 150 352 0 06 Jul 2017
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition Tianyi Zhao Jun-chen Yu Zhenzhong Kuang Wei Zhang Jianping Fan MoE 183 15 0 24 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 173 579 0 12 Jun 2017
Interspecies Knowledge Transfer for Facial Keypoint Detection M. Rashid Xiuye Gu Yong Jae Lee CVBM 3DH 167 46 0 13 Apr 2017
Reading Wikipedia to Answer Open-Domain Questions Danqi Chen Adam Fisch Jason Weston Antoine Bordes RALM 336 2,129 0 31 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 253 165 0 27 Mar 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation Ashvin Nair Dian Chen Pulkit Agrawal Phillip Isola Pieter Abbeel Jitendra Malik Sergey Levine SSL 218 320 0 06 Mar 2017
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation Markus Wulfmeier Alex Bewley Ingmar Posner 157 82 0 04 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuningComputer Vision and Pattern Recognition (CVPR), 2017 Weifeng Ge Yizhou Yu 262 244 0 28 Feb 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2017 Xiaosong Wang Le Lu Hoo-Chang Shin Lauren Kim M. Bagheri Isabella Nogues Jianhua Yao Ronald M. Summers 180 41 0 23 Jan 2017
Human perception in computer vision Ron Dekel OOD 89 10 0 17 Jan 2017
Object Recognition with and without Objects Zhuotun Zhu Lingxi Xie Alan Yuille OCL ObjD 373 84 0 20 Nov 2016
Deep Fruit Detection in OrchardsIEEE International Conference on Robotics and Automation (ICRA), 2016 Suchet Bargoti J. Underwood 131 467 0 12 Oct 2016