How does the zero-shot cross-domain retrieval accuracy of MMICL on TextCaps compare to its in-domain performan

Abstract

Abstract: Abstract Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep learning techniques have emerged as a powerful strategy for learning feature representations directly from data and have led to remarkable breakthroughs in the field of generic object detection. Given this period of rapid evolution, the goal of this paper is to provide a comprehensive survey of the recent achievements in this field brought about by deep learning techniques. More than 300 researc

Research Question

How does the zero-shot cross-domain retrieval accuracy of MMICL on TextCaps compare to its in-domain performance on MSCOCO when evaluated using standard recall@K metrics?

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