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Emotion Classification on FI

88.64Accuracy

CLIP

Updated 3d ago

Evaluation Results

Method	Links
CLIP 2025.12		88.64
CLIP 2025.12		86.3
SwinB 2025.12		72.64
ResNet-101 2025.12		71.79
SwinB 2025.12		69.91
ResNet-101 2025.12		67.91
ViT-B/16 2026.04		67.4
ViT-B/16 2026.04		67.4
ResNet-50 2026.04		67.2
ResNet-50 2026.04		67.2
Swin-T 2026.04		67
Swin-T 2026.04		67
ResNet-50 2026.04		65.8
ResNet-50 2026.04		65.8
ViT-B/16 2026.04		65.6
ViT-B/16 2026.04		65.6
DenseNet-121 2026.04		64.4
Swin-T 2026.04		64.4
DenseNet-121 2026.04		64.4
Swin-T 2026.04		64.4
Avg. 2026.04		64.2
DenseNet-121 2026.04		63.2
DenseNet-121 2026.04		63.2
Avg. 2026.04		62.5
VGG-16 2026.04		61.4
VGG-16 2026.04		61.4
VGG-16 2026.04		59.7
VGG-16 2026.04		59.7
AlexNet 2026.04		57.9
AlexNet 2026.04		57.9
AlexNet 2026.04		56.4
AlexNet 2026.04		56.4