🔧 Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models

Problem Statement


For roughly a decade, vision-language models have been declared to be approaching or matching human performance on scene description (captioning). The evidence for that claim has almost always come from the same family of benchmarks—most famously MS-COCO. Those images are typically clean, well-lit, and depict either no people...