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VLHTrack achieves unprecedented tracking accuracy by leveraging language-guided spectral selection and dynamic template updates, outperforming existing methods in challenging scenarios.
PhysScene reveals that structured representations of experimental scenes can significantly enhance relational reasoning capabilities in AI systems, challenging current benchmarks.
Achieve real-time oriented object detection in remote sensing images with a new transformer architecture that overcomes challenges in angle representation and training stability, reaching up to 80.15% AP50 at 119 FPS.
