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Found 2 papers, 1 papers with code
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Using FLOPs as an analog for reaction time, we compare networks with humans on curve-fit error, category-wise correlation, and curve steepness, and conclude that cascaded dynamic neural networks are a promising model of human reaction time in object recognition tasks.
Inequitable Access to EV Charging Infrastructure
Access to and affordability of electric vehicle (EV) charging infrastructure are the two prominent barriers for EV adoption.
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