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The results establish explicit-implicit matching as an effective and efficient mechanism for spatio-temporal instance interaction and Integrating temporal MatchFusion into SparseDrive further improves perception within an E2E framework without additional supervision.
Results show that distinguishing structural details from degradation-induced interference is more effective for underwater segmentation, and GeoCueFormer achieves SOTA performance while maintaining a favorable accuracy-complexity trade-off.
EmoVec enables real-time emotional control in LLMs, enhancing their affective responses without retraining.
MedUAG sets a new standard in medical multimodal models, achieving strong performance across diverse understanding and generation tasks with the largest dataset yet.
DSPrompt reshapes retrieval semantics to thwart adversarial attacks without altering the retrieval pipeline, achieving robust defense with less than 1% additional parameters.
