Abstract: In modern remote sensing image change detection (CD), convolution neural network (CNN), especially U-shaped structure (UNet), has achieved great success due to their powerful discriminative ...
Abstract: The dehazing algorithms are based on the hazy simulation equation to remove haze and restore the input image feature maps by estimating the intensity coefficient of the atmospheric light ...
For research I chose this article "Phase-aware speech enchancement with Deep Complex U-Net", which describes the architecture and training of a convolutional neural network for improving speech, ...
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...
The main contributions of this study can be summarized as follows. First, a unified data cleaning and partitioning pipeline was established for the PV panel surface condition recognition task, and ...
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