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Qwen Team, Nanjing University
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EDA not only corrects the current memory write but also actively removes outdated information, leading to superior performance in long-context scenarios.
YOLO can learn faster and better by strategically skipping redundant images during training, achieving a 1.43x speedup and improved accuracy with a new Anti-Forgetting Sampling Strategy.
Achieve SOTA multi-modal object tracking by adaptively fusing modalities with a Mixture of Experts and decoupling temporal propagation with separate State Space Models.