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Found 6 papers, 4 papers with code
Adaptive Measurement Network for CS Image Reconstruction
In this paper, we propose an adaptive measurement network in which measurement is obtained by learning.
Real-Time Illegal Parking Detection System Based on Deep Learning
Experiments show that the system can achieve a 99% accuracy and real-time (25FPS) detection with strong robustness in complex environments.
Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Recently, deep learning methods have made a significant improvement in compressive sensing image reconstruction task.
Full Image Recover for Block-Based Compressive Sensing
In measurement part, the input image is adaptively measured block by block to acquire a group of measurements.
Perceptual Compressive Sensing
In detail, we employ perceptual loss, defined on feature level, to enhance the structure information of the recovered images.
PG-Net: Pixel to Global Matching Network for Visual Tracking
In this paper, a Pixel to Global Matching Network (PG-Net) is proposed to suppress the influence of background in search image while achieving state-of-the-art tracking performance.
