Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2407.18949 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866910544629334016 |
|---|---|
| author | Cao, Stanley Young, Sonny |
| author_facet | Cao, Stanley Young, Sonny |
| contents | Image captioning using Vision Transformers (ViTs) represents a pivotal convergence of computer vision and natural language processing, offering the potential to enhance user experiences, improve accessibility, and provide textual representations of visual data. This paper explores the application of image captioning techniques to New Yorker cartoons, aiming to generate captions that emulate the wit and humor of winning entries in the New Yorker Cartoon Caption Contest. This task necessitates sophisticated visual and linguistic processing, along with an understanding of cultural nuances and humor. We propose several new baselines for using vision transformer encoder-decoder models to generate captions for the New Yorker cartoon caption contest. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18949 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predicting Winning Captions for Weekly New Yorker Comics Cao, Stanley Young, Sonny Computer Vision and Pattern Recognition Artificial Intelligence Image captioning using Vision Transformers (ViTs) represents a pivotal convergence of computer vision and natural language processing, offering the potential to enhance user experiences, improve accessibility, and provide textual representations of visual data. This paper explores the application of image captioning techniques to New Yorker cartoons, aiming to generate captions that emulate the wit and humor of winning entries in the New Yorker Cartoon Caption Contest. This task necessitates sophisticated visual and linguistic processing, along with an understanding of cultural nuances and humor. We propose several new baselines for using vision transformer encoder-decoder models to generate captions for the New Yorker cartoon caption contest. |
| title | Predicting Winning Captions for Weekly New Yorker Comics |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2407.18949 |