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Found 2 papers, 1 papers with code
A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection
Automotive related datasets have previously been used for training autonomous driving systems or vehicle classification tasks.
Increasing Data Efficiency of Driving Agent By World Model
To this end we proposed a world model to model popular reinforcement learning environments through compressed spatio-temporal representations, which allow model-free method learning behaviors from imagined outcomes to increase sample-efficiency.
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