main webpage W Topic Computer Vision Proceedings of the AAAI Conference on Artificial Intelligence • Vol 38 • No 4 M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking 2024 3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clouds introduce variations in the appearance of tracked objects, adding complexity… Article Open Computer Vision Open Article Page

Computer Vision

Computerized information extraction from images Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high- dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page

Exploring foci of: Proceedings of the AAAI Conference on Artificial Intelligence • Vol 38 • No 4 M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking 2024 3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clouds introduce variations in the appearance of tracked objects, adding complexity to the task. In this research, we unveil M3SOT, a novel 3D SOT framework, which synergizes multiple input frames (template sets), multiple receptive fields (continuous contexts), and multiple solution spaces (distinct tasks) in ONE model. Remarkably, M3SOT pi… Open Article Page

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Explore Computer Vision W Topic Computer Vision Proceedings of the AAAI Conference on Artificial Intelligence • Vol 38 • No 4 M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking 2024 3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clouds introduce variations in the appearance of tracked objects, adding complexity… Article Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page