Delving into multimodal prompting for fine-grained visual classification

Delving into multimodal prompting for fine-grained visual classification

Fine-grained visual classification (FGVC) involves categorizing fine subdivisions within a broader category, which poses challenges due to subtle inter-class discrepancies and large intra-class variations. However, prevailing approaches primarily focus on uni-modal visual concepts. Recent advancemen...

Full description

Saved in:
Bibliographic Details
Main Authors: JIANG, Xin, TANG, Hao, GAO, Junyao, DU, Xiaoyu, HE, Shengfeng, LI, Zechao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Fine-grained visual classification
Categorization
Multimodal prompts
Optimization strategy
Artificial Intelligence and Robotics
Graphics and Human Computer Interfaces
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8741
https://ink.library.smu.edu.sg/context/sis_research/article/9744/viewcontent/28034_Article_Text_32088_1_2_20240324.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8741
https://ink.library.smu.edu.sg/context/sis_research/article/9744/viewcontent/28034_Article_Text_32088_1_2_20240324.pdf

Similar Items