PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis

ArXi:2604.02804v1 Announce Type: cross Pavement condition assessment is essential for road safety and maintenance. Existing research has made significant progress. However, most studies focus on conventional computer vision tasks such as classification, detection, and segmentation. In real-world applications, pavement inspection requires than visual recognition. It also requires quantitative analysis, explanation, and interactive decision. Current datasets are limited. They focus on unimodal perception. They lack for multi-turn interaction and fact-grounded reasoning.