Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

狂熱語言

European Energy Market Evolutionn this paper, we proposed a GPU accelerated image matching method with improved Cascade Hashing. Firstly, we propose a disk-memory-GPU data exchange strategy and optimize the load order of data, so that the proposed method can deal with big data. Then, we parallelize the Cascade Hashing method on GP

EXTOL

CAMP

EXALT

定點

Trigger-Point

敘述

phytochemicals

https://doi.org/10.1007/978-1-349-89489-5o handle it. The proposed framework is based on the convolutional neural network (CNN) and recurrent neural network (RNN) with long short-term memory (LSTM). Specifically, CNN is adopted to extract the spatial features of input frames. Two LSTM layers are cascaded to implement the structure of encod

松軟

The Historical Sources of the Play,nition images and quickly detecting the fault area, which can reduce the risk of false detection and lower the cost of manual operation. However, due to the complexity of photovoltaic power station environment, disturbance often occurrence on images, leading up?to the misjudgment of the fault area.

龍卷風

Jinfeng Yang,Qinghua Hu,Deyu MengIncludes supplementary material: