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Shanghai Jiao Tong University
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Today's best AI agents can only solve 55% of real-world academic tasks that university students find challenging, revealing a significant gap between current AI capabilities and the demands of academic workflows.
Ditching convolutions and transformers, a new Siamese tracker uses MLPs and neural architecture search to achieve state-of-the-art accuracy-efficiency trade-offs in visual tracking, even on resource-constrained hardware.
