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Vision-Language Models (VLMs) demonstrate remarkable zero-shot generalization to unseen tasks, but fall short of the performance of supervised methods in generalizing to downstream tasks with limited data. Prompt learning is emerging as a parameter-e
Externí odkaz:
http://arxiv.org/abs/2407.03056
Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the relative caption. The reliance
Externí odkaz:
http://arxiv.org/abs/2405.02951
Fashion illustration is a crucial medium for designers to convey their creative vision and transform design concepts into tangible representations that showcase the interplay between clothing and the human body. In the context of fashion design, comp
Externí odkaz:
http://arxiv.org/abs/2403.14828
Multimodal image-text memes are prevalent on the internet, serving as a unique form of communication that combines visual and textual elements to convey humor, ideas, or emotions. However, some memes take a malicious turn, promoting hateful content a
Externí odkaz:
http://arxiv.org/abs/2310.08368
Given the recent advances in multimodal image pretraining where visual models trained with semantically dense textual supervision tend to have better generalization capabilities than those trained using categorical attributes or through unsupervised
Externí odkaz:
http://arxiv.org/abs/2309.12110
Autor:
Cartella, Giuseppe, Baldrati, Alberto, Morelli, Davide, Cornia, Marcella, Bertini, Marco, Cucchiara, Rita
The inexorable growth of online shopping and e-commerce demands scalable and robust machine learning-based solutions to accommodate customer requirements. In the context of automatic tagging classification and multimodal retrieval, prior works either
Externí odkaz:
http://arxiv.org/abs/2309.05551
Given a query composed of a reference image and a relative caption, the Composed Image Retrieval goal is to retrieve images visually similar to the reference one that integrates the modifications expressed by the caption. Given that recent research h
Externí odkaz:
http://arxiv.org/abs/2308.11485
Autor:
Agnolucci, Lorenzo, Baldrati, Alberto, Todino, Francesco, Becattini, Federico, Bertini, Marco, Del Bimbo, Alberto
Image recognition has recently witnessed a paradigm shift, where vision-language models are now used to perform few-shot classification based on textual prompts. Among these, the CLIP model has shown remarkable capabilities for zero-shot transfer by
Externí odkaz:
http://arxiv.org/abs/2307.14063
Autor:
Morelli, Davide, Baldrati, Alberto, Cartella, Giuseppe, Cornia, Marcella, Bertini, Marco, Cucchiara, Rita
The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the development of diffusion models have enabled generative networks to create
Externí odkaz:
http://arxiv.org/abs/2305.13501
Autor:
Baldrati, Alberto, Morelli, Davide, Cartella, Giuseppe, Cornia, Marcella, Bertini, Marco, Cucchiara, Rita
Fashion illustration is used by designers to communicate their vision and to bring the design idea from conceptualization to realization, showing how clothes interact with the human body. In this context, computer vision can thus be used to improve t
Externí odkaz:
http://arxiv.org/abs/2304.02051