IIITD-20K: Dense captioning for Text-Image ReID Article Swipe
A V Subramanyam
,
N. Sundararajan
,
Vibhu Dubey
,
Brejesh Lall
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2305.04497
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2305.04497
Text-to-Image (T2I) ReID has attracted a lot of attention in the recent past. CUHK-PEDES, RSTPReid and ICFG-PEDES are the three available benchmarks to evaluate T2I ReID methods. RSTPReid and ICFG-PEDES comprise of identities from MSMT17 but due to limited number of unique persons, the diversity is limited. On the other hand, CUHK-PEDES comprises of 13,003 identities but has relatively shorter text description on average. Further, these datasets are captured in a restricted environment with limited number of cameras. In order to further diversify the identities and provide dense captions, we propose a novel dataset called IIITD-20K. IIITD-20K comprises of 20,000 unique identities captured in the wild and provides a rich dataset for text-to-image ReID. With a minimum of 26 words for a description, each image is densely captioned. We further synthetically generate images and fine-grained captions using Stable-diffusion and BLIP models trained on our dataset. We perform elaborate experiments using state-of-art text-to-image ReID models and vision-language pre-trained models and present a comprehensive analysis of the dataset. Our experiments also reveal that synthetically generated data leads to a substantial performance improvement in both same dataset as well as cross dataset settings. Our dataset is available at https://bit.ly/3pkA3Rj.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2305.04497
- https://arxiv.org/pdf/2305.04497
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4375958880
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4375958880Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2305.04497Digital Object Identifier
- Title
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IIITD-20K: Dense captioning for Text-Image ReIDWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-08Full publication date if available
- Authors
-
A V Subramanyam, N. Sundararajan, Vibhu Dubey, Brejesh LallList of authors in order
- Landing page
-
https://arxiv.org/abs/2305.04497Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2305.04497Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2305.04497Direct OA link when available
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Closed captioning, Computer science, Image (mathematics), Artificial intelligence, Pattern recognition (psychology), Natural language processing, Information retrieval, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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