arXiv:1307.0414
Challenges in Representation Learning: A report on three machine learning contests
원문 초록
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.
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Multimodal Prompt Alignment for Facial Expression Recognition
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition
Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel Attention
DetFusion: A Detection-driven Infrared and Visible Image Fusion Network
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