A Robust Transformer–Residual Hybrid Framework with Soft Thresholding for High-Performance Image Emotion Classification

Abstract The proliferation of social media has led to a surge in emotional image messages, necessitating advancements in image-affective computing. This field aims to recognize emotional information within images, with emotion classification being a pivotal area of research. However, due to the inhe...

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Bibliografische Detailangaben

Hauptverfasser:	Ala’a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2025-10-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	EmoViTResNet Emotion Classification Social Media Imaging Deep Feature Extraction gesture recognition
Online-Zugang:	https://doi.org/10.1007/s44196-025-00974-6
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