FPBench evaluates 20 MLLMs across 8 fingerprint tasks on 7 datasets and shows fine-tuning vision and language encoders improves performance by 7-39%.
Emo-llama: Enhancing facial emotion understanding with instruction tuning
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The OG-ReG Transformer achieves state-of-the-art results on Kinetics-400, Something-Something v2, and Diving-48 by combining global glance and local gaze processing paths.
This survey organizes deep learning FER literature into five evolutionary phases and a seven-criteria taxonomy, compares datasets and performance, and outlines challenges.
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FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis
FPBench evaluates 20 MLLMs across 8 fingerprint tasks on 7 datasets and shows fine-tuning vision and language encoders improves performance by 7-39%.
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Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer
The OG-ReG Transformer achieves state-of-the-art results on Kinetics-400, Something-Something v2, and Diving-48 by combining global glance and local gaze processing paths.
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Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
This survey organizes deep learning FER literature into five evolutionary phases and a seven-criteria taxonomy, compares datasets and performance, and outlines challenges.
- ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning