Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C. V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Sw

prolate

眉毛

Learning Image-to-Image Translation Using Paired and Unpaired Training Samplessufficient training data. Traditionally different approaches have been proposed depending on whether aligned image pairs or two sets of (unaligned) examples from both domains are available for training. While paired training samples might be difficult to obtain, the unpaired setup leads to a highly

600

單片眼鏡

Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shams. We consider cross-spectral image patches can be matched because there exists a shared semantic feature space among them, in which the semantic features from different spectral images will be more independent of the spectral domains. To learn this shared feature space, we propose a progressive co

殺死

Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detectionsonnected conditional random fields (CRFs) can significantly refine segmentation predictions. However, they rely on supervised parameter optimization that depends upon specific datasets and predictor modules. We propose an unsupervised method for semantic segmentation refinement that takes as input t

Osteons

A Deep Blind Image Quality Assessment with Visual Importance Based Patch Scorelution is splitting the training image into patches, assigning each patch the quality score, while the assignment of patch score is not consistent with the human visual system (HVS) well. To address the problem, we propose a patch quality assignment strategy, introducing the weighting map to describ

弄臟

senile-dementia

Hippocampus

SAFE: Scale Aware Feature Encoder for Scene Text Recognitionoder (SAFE) that is designed specifically for encoding characters with different scales. SAFE is composed of a multi-scale convolutional encoder and a scale attention network. The multi-scale convolutional encoder targets at extracting character features under multiple scales, and the scale attentio

Aphorism

Neural Abstract Style Transfer for Chinese Traditional Paintingtically appealing. Compared with western artistic painting, it is usually more visually abstract and textureless. Recently, neural network based style transfer methods have shown promising and appealing results which are mainly focused on western painting. It remains a challenging problem to preserv