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Transforming point seeds into temporally consistent object instances, PS-Track sets a new benchmark in multi-object tracking without relying on traditional bounding box annotations.
Dynamic allocation of compute resources based on attention entropy can yield significant speedups in long-context LLM inference without sacrificing quality.
Achieve state-of-the-art 3D occupancy prediction by unifying geometric, semantic, and textual information within a novel omnidirectional framework.