Abstract: Integration of multi-level contextual information, such as feature maps and side outputs, is crucial for Convolutional Neural Networks (CNNs)-based salient object detection. However, most ...

Abstract: In-memory computing (IMC) is an effective solution for energy-efficient artificial intelligence applications. Analog IMC amortizes the power consumption of multiple sensing amplifiers with ...

Convolutional Neural Networks (CNNs) are the backbone of modern image recognition. The key operation is 2D convolution: sliding a small filter (kernel) over an input image and computing weighted sums.

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College of Information and Communication Engineering, Harbin Engineering University, Harbin, China. MTI band-stop filter as a “single channel”, followed by detection is relatively simple. When the ...

Morningstar Quantitative Ratings for Stocks are generated using an algorithm that compares companies that are not under analyst coverage to peer companies that do receive analyst-driven ratings.