The advent of vision-language pre-training techniques enhanced substantial progress in the
development of models for image captioning. However, these models frequently produce …

In this paper, we explore the potential of the Contrastive Language-Image Pretraining (CLIP)
model in scene text recognition (STR), and establish a novel Symmetrical Linguistic Feature …

The advent of vision-language pre-training techniques enhanced substantial progress in the
development of models for image captioning. However, these models frequently produce …

Pre-trained vision-language models~(VLMs) are the de-facto foundation models for various
downstream tasks. However, scene text recognition methods still prefer backbones pre …

Vision-Language (VL) models have gained significant research focus enabling remarkable
advances in multimodal reasoning. These architectures typically comprise a vision encoder …

The increasing use of transformer-based large language models brings forward the
challenge of processing long sequences. In document visual question answering (DocVQA) …

The adaptation capability to a wide range of domains is crucial for scene text spotting
models when deployed to real-world conditions. However, existing state-of-the-art …

Visual Abductive Reasoning is an emerging vision-language (VL) topic where the model
needs to retrieve/generate a likely textual hypothesis from a visual input (image or its part) …

This chapter introduces how representations are encoded and extracted from samples, ie,
the sample-to-representation mapping module in the framework discussed above (Fig.). The …

This chapter gives a clear and detailed definition of the OSTR task. First, we describe the
aim, goal, and scope, and formulate and define the OSTR task and the relation between …