Search results with tag "For image"
Deep Residual Learning for Image Recognition
www.cv-foundation.orgResidual Representations. In image recognition, VLAD [18] is a representation that encodes by the residual vectors with respect to a dictionary, and Fisher Vector [30] can be formulated as a probabilistic version [18] of VLAD. Both of them are powerful shallow representations for image re-trieval and classification [4, 47]. For vector ...
Aggregated Residual Transformations for Deep Neural …
openaccess.thecvf.comAggregated Residual Transformations for Deep Neural Networks Saining Xie1 Ross Girshick2 Piotr Dollar´ 2 Zhuowen Tu1 Kaiming He2 1UC San Diego 2Facebook AI Research {s9xie,ztu}@ucsd.edu {rbg,pdollar,kaiminghe}@fb.com Abstract We present a simple, highly modularized network archi-tecture for image classification. Our network is constructed
Residual Attention Network for Image Classification
openaccess.thecvf.comResidual Attention Network for Image Classification Fei Wang1, Mengqing Jiang2, Chen Qian1, Shuo Yang3, Cheng Li1, Honggang Zhang4, Xiaogang Wang3, Xiaoou Tang3 1SenseTime Group Limited, 2Tsinghua University, 3The Chinese University of Hong Kong, 4Beijing University of Posts and Telecommunications 1{wangfei, qianchen, chengli}@sensetime.com, …
Image-To-Image Translation With Conditional Adversarial ...
openaccess.thecvf.comStructured losses for image modeling Image-to-image translation problems are often formulated as per-pixel clas-sification or regression (e.g., [36, 55, 25, 32, 58]). These formulations treat the output space as “unstructured” in the sense that each output pixel is considered conditionally in-dependent from all others given the input image ...