Contextual object detection refers to methods that go beyond isolated recognition of objects by integrating information about their surroundings, inter-object relationships and scene semantics. Early ...
naturally. For example, a random object being considered may be a random connected graph, a random bounded-degree graph, or a random error-correcting code with good distance. A pseudo-random ...
Multi-object tracking (MOT) lies at the heart of dynamic scene understanding in computer vision, with applications spanning autonomous vehicles, video surveillance, sports analytics and robotics. The ...
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