Introduces FG-BMK benchmark and evaluates twelve LVLMs on fine-grained semantic recognition and feature tasks, identifying influences from training paradigms and perturbation sensitivity.
Progressive multi-task anti-noise learning and distilling frameworks for fine-grained vehicle recognition
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Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation
Introduces FG-BMK benchmark and evaluates twelve LVLMs on fine-grained semantic recognition and feature tasks, identifying influences from training paradigms and perturbation sensitivity.