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Zero-shot Emotion Annotation in Facial Images Using Large Multimodal Models: Benchmarking and Prospects for Multi-Class, Multi-Frame Approaches
v1v2 (latest)

Zero-shot Emotion Annotation in Facial Images Using Large Multimodal Models: Benchmarking and Prospects for Multi-Class, Multi-Frame Approaches

18 February 2025
He Zhang
Xinyi Fu
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Zero-shot Emotion Annotation in Facial Images Using Large Multimodal Models: Benchmarking and Prospects for Multi-Class, Multi-Frame Approaches"

2 / 2 papers shown
Title
Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation
He Zhang
Xinyi Fu
John M. Carroll
VLM
194
3
0
14 Mar 2025
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Ranjan Sapkota
Achyut Paudel
Manoj Karkee
SyDa
377
9
0
18 Nov 2024
1