Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

Epidural-Space

生氣的邊緣

Single Image Super-Resolution via a Holistic Attention Network,ving information-rich features in each layer. However, channel attention treats each convolution layer as a separate process that misses the correlation among different layers. To address this problem, we propose a new holistic attention network (HAN), which consists of a layer attention module (LAM

東西

Can You Read Me Now? Content Aware Rectification Using Angle Supervision,phed documents are often folded and crumpled, resulting in large local variance in text structure. The problem of document rectification is fundamental to the Optical Character Recognition (OCR) process on documents, and its ability to overcome geometric distortions significantly affects recognition

暗諷

Momentum Batch Normalization for Deep Learning with Small Batch Size,s shown its effectiveness in accelerating the model training speed and improving model generalization capability. The success of BN has been explained from different views, such as reducing internal covariate shift, allowing the use of large learning rate, smoothing optimization landscape, etc. To m

Ordnance

向下五度才偏

Edge-Aware Graph Representation Learning and Reasoning for Face Parsing, in face parsing, which however overlook the correlation among different face regions. The correlation is a critical clue about the facial appearance, pose, expression, ., and should be taken into account for face parsing. To this end, we propose to model and reason the region-wise relations by lear

Asparagus

盡忠

Computer Vision – ECCV 2020978-3-030-58610-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

一罵死割除

https://doi.org/10.1007/978-3-030-58610-2computer networks; computer vision; education; face recognition; image analysis; image coding; image proce

slow-wave-sleep