Abstract: Learning multi-scale feature representations is essential for dense prediction tasks in autonomous driving. Most existing works are based on U-shaped architectures, where high-resolution ...

Abstract: Recent advancements in code generation from natural language have been driven by large language models (LLMs) like GPT-4 and WizardCoder, but current methods often underutilize their ...