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Vision-Language Approaches for Vehicle Detection in Complex Scenarios

This writeup covers how VLM-guided detection complements CNN and Transformer approaches in long-tail driving scenes.

Problem

Conventional detectors struggle with rare classes, unusual occlusions, and weak context in difficult environments.

Method

Integrate text-guided priors and prompt-conditioned reasoning with visual backbones to improve contextual understanding.

Results

VLM-enhanced workflows can improve recall on challenging categories while maintaining interpretable prompts and outputs.