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Found 3 papers, 2 papers with code
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases
Vision-language (VL) models, pretrained on colossal image-text datasets, have attained broad VL competence that is difficult to evaluate.
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence.
Ranked #5 on
visual instruction following
on LLaVA-Bench
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction
MSDs assessment using postures recognized from incremental CLN model had minor difference with ground-truth, which demonstrates the high potential for automated MSDs monitoring in construction.
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