A complete human verified Turkish caption dataset for MS COCO and performance evaluation with well-known image caption models trained against it

Golech, Sina Berk; Karacan, Saltuk Bugra; Sönmez, Elena Battini; Ayral, Hakan

doi:10.1109/iceccme55909.2022.9988025

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Python and C++are programming languages used. The academic community evaluates graphic retrieval models using publicly available datasets such as the MSCOCO dataset [20][21][22] to evaluate their accuracy and the EPIC-KITCHENS-100 dataset [23][24][25], which includes audio and video information. MSCOCO dataset.…”

Section: Experiments Environmentmentioning

confidence: 99%

A Cross-modal Retrieval Method for Image, Audio and Video Based on openKylin

Zhang,

Xie,

Liu

et al. 2023

Preprint

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The need for cross-modal retrieval (CMR) among users is growing because of the swift advancements in computer vision and natural language processing. Promoting home operating systems is greatly aided by the openKylin home operating system. It is focused on enhancing the functionality of the operating system with safe and dependable operating technologies. Practical implications abound for integrating computer vision research into home operating systems. A multimodal retrieval approach based on openKylin is presented to improve the usability of text search graphs, audio, and video. The overview of pertinent domestic and international research is the main topic of this article. This technological advancement. It then offers details on the design, implementation procedure, and final implementation outcomes for demonstration. The works of natural operations show that this strategy has excellent accuracy and performance.

show abstract

Section: Experiments Environmentmentioning

confidence: 99%

A Cross-modal Retrieval Method for Image, Audio and Video Based on openKylin

Zhang,

Xie,

Liu

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Section: Experiments Environmentmentioning

confidence: 99%

A Cross-modal Retrieval Method for Image, Audio and Video Based on OpenKylin

Zhang,

Xie,

Liu

et al. 2023

Preprint

View full text Add to dashboard Cite

The need for cross-modal retrieval (CMR) among users is growing because of the swift advancements in computer vision and natural language processing. Promoting home operating systems is greatly aided by the openKylin home operating system. It is focused on enhancing the functionality of the operating system with safe and dependable operating technologies. Practical implications abound for integrating computer vision research into home operating systems. A multimodal retrieval approach based on OpenKylin is presented to improve the usability of text search graphs, audio, and video. The overview of pertinent domestic and international research is the main topic of this article. This technological advancement. It then offers details on the design, implementation procedure, and final implementation outcomes for demonstration. The works of natural operations show that this strategy has excellent accuracy and performance.

show abstract

A complete human verified Turkish caption dataset for MS COCO and performance evaluation with well-known image caption models trained against it

Cited by 2 publications

References 20 publications

A Cross-modal Retrieval Method for Image, Audio and Video Based on openKylin

A Cross-modal Retrieval Method for Image, Audio and Video Based on openKylin

A Cross-modal Retrieval Method for Image, Audio and Video Based on OpenKylin

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