Existing text-based person retrieval datasets often have relatively coarse-grained text
annotations. This hinders the model to comprehend the fine-grained semantics of query …

The fashion industry's traditional price-setting methods, based on historical sales and
Fashion Week trends, are inadequate in the digital era. Rapid changes in collections and …

Prompt-OVD is an efficient and effective framework for open-vocabulary object detection that
utilizes class embeddings from CLIP as prompts, guiding the Transformer decoder to detect …

Prompt-OVD is an efficient and effective DETR-based framework for open-vocabulary object
detection that utilizes class embeddings from CLIP as prompts, guiding the Transformer …

Multimodal transfer learning aims to transform pretrained representations of diverse
modalities into a common domain space for effective multimodal fusion. However …

Adversarial patch attacks which can mislead deep learning models and the human eye in
both the digital and physical domains have led to a trust crisis. Traditional approaches to …