What is Holding Back Convnets for Detection?

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What is Holding Back Convnets for Detection?

12 August 2015

Rodrigo Benenson

Tobias Ritschel

Bernt Schiele

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Papers citing "What is Holding Back Convnets for Detection?"

16 / 16 papers shown

Title
On the Minimal Recognizable Image Patch Mark Fonaryov M. Lindenbaum 20 1 0 12 Oct 2020
TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya Sean Foley James Hays Judy Hoffman 97 199 0 18 Aug 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 149 358 0 25 Sep 2019
Synthetic Examples Improve Generalization for Rare Classes Sara Beery Yang Liu Dan Morris Jim Piavis Ashish Kapoor M. Meister Neel Joshi Pietro Perona 132 98 0 11 Apr 2019
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration Vianney Loing Renaud Marlet Mathieu Aubry 74 23 0 07 Feb 2019
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 158 125 0 10 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 232 2,467 0 06 Sep 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 115 308 0 27 Nov 2017
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays Philipp Henzler V. Rasche Timo Ropinski Tobias Ritschel MedIm 55 13 0 13 Oct 2017
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 74 212 0 07 Jun 2017
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction Aayush Bansal Bryan C. Russell Abhinav Gupta 64 222 0 05 Apr 2016
How useful is photo-realistic rendering for visual learning? Yair Movshovitz-Attias T. Kanade Yaser Sheikh 3DH 3DV 97 152 0 26 Mar 2016
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views Francisco Massa Bryan C. Russell Mathieu Aubry 3DV ObjD 157 100 0 08 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 258 4,912 0 14 Nov 2015
DenseBox: Unifying Landmark Localization with End to End Object Detection Lichao Huang Yi Yang Yafeng Deng Yinan Yu ObjD 96 463 0 16 Sep 2015
Multi-scale Volumes for Deep Object Detection and Localization Eshed Ohn-Bar Mohan M. Trivedi ObjD 45 35 0 14 May 2015