Gerontology
发表于 2025-3-30 11:56:14
https://doi.org/10.1007/978-1-4613-9089-3have verified the effectiveness of the proposed method. We achieved 2nd place in the Learning from Synthetic Data (LSD) Challenge of the 4th Competition on Affective Behavior Analysis in-the-wild (ABAW). The code has been released at ..
BARGE
发表于 2025-3-30 13:00:33
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来自于
发表于 2025-3-30 17:36:23
https://doi.org/10.1007/978-3-658-08290-1using synthetic images generated from the Aff-wild2 dataset and evaluated it using real images from the Aff-wild2 dataset. The result shows that our framework (0.3084) performs 2.8% higher than the baseline (0.3) on the macro F1 score metric.
漂白
发表于 2025-3-30 22:13:27
Eco-Efficiency in Industry and Sciencearning frameworks to model the correlations effectively. Our system achieves the performance of 1.7607 on the validation dataset and 1.4361 on the test dataset, ranking first in the MTL Challenge. The code is available at
正常
发表于 2025-3-31 01:45:06
https://doi.org/10.1007/978-1-4020-2157-2Aff-Wild2 database is a large scale in-the-wild database and the first one that contains annotations for valence and arousal, expressions and action units. This database is the basis for the above Challenges. In more detail: i) s-Aff-Wild2 - a static version of Aff-Wild2 database- has been construct
Psychogenic
发表于 2025-3-31 07:11:55
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