DeepID-Net: Deformable deep convolutional neural networks for object detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 2403-2412

  Ouyang, Wanli ^a   Wang, Xiaogang ^a   Zeng, Xingyu ^a   Qiu, Shi ^a   Luo, Ping ^a   Tian, Yonglong ^a   Li, Hongsheng ^a   Yang, Shuo ^a   Wang, Zhe ^a   Loy, Chen Change ^a   Tang, Xiaoou ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; DEFORMATION; NEURAL NETWORKS; OBJECT RECOGNITION; PATTERN RECOGNITION; PIPELINES;

CONVOLUTIONAL NEURAL NETWORK; DEEP ARCHITECTURES; DETECTION FRAMEWORK; EXPERIMENTAL EVALUATION; FEATURE REPRESENTATION; GENERALIZATION CAPABILITY; GEOMETRIC CONSTRAINT; TRAINING STRATEGY;

OBJECT DETECTION;

EID: 84948382785     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298854     Document Type: Conference Paper

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