When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the ...
We learned the hard way that the distance between a great demo and a great deployment is measured by what happens when ...
Abstract: Existing salient object detection (SOD) models primarily resort to convolutional neural networks (CNNs) and Transformers. However, the limited receptive fields of CNNs and quadratic ...
Abstract: Multiple object tracking (MOT) is a critical task in computer vision, applied in areas such as autonomous driving, sports analytics, and human activity recognition. Traditional online MOT ...
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