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Found 2 papers, 2 papers with code
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
Inspired by prototype learning theory, we propose leveraging prototype awareness to capture diverse and fine-grained feature attributes of instances.
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
To tackle this challenge, a surge of research in scenario-based autonomous driving has emerged, with a focus on generating high-risk driving scenarios and applying them to conduct safety-critical testing of AV models.
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