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Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
Video segmentation consists of a frame-by-frame selection process of meaningful areas related to foreground moving objects.
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
Such architecture design directly impacts on the quality of the detection results, and also in the device resources capacity, like memory.
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture.
Image Denoising using Attention-Residual Convolutional Neural Networks
Nowadays, learning-based denoising techniques showed to be much more effective and flexible approaches, such as Residual Convolutional Neural Networks.
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