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TFP achieves a remarkable boost in manipulation task success rates, demonstrating that memory dynamics can significantly enhance VLA policies in challenging environments.
CylindTrack achieves superior identity preservation in panoramic multi-object tracking by effectively modeling depth consistency and leveraging the unique topology of equirectangular images.
MVOFormer outperforms traditional learning-based MVO methods by achieving superior zero-shot generalization and robustness through a novel flow-semantic architecture.
