VGG

Reported on 5 benchmarks across 3 tasks · 2 papers · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision5 results

Document Image ClassificationonTobacco-3482
Memory· 2021-06-25
7.08
SOTA
Efficient Document Image Classification Using Region-Based Graph Neural Network arXiv:2106.13802
Image ClassificationonTobacco-3482
Memory· 2021-06-25
7.08
SOTA
Efficient Document Image Classification Using Region-Based Graph Neural Network arXiv:2106.13802
Facial Expression RecognitiononFER2013
Accuracy· 2016-12-09
72.7
SOTA
Facial Expression Recognition using Convolutional Neural Networks: State of the Art arXiv:1612.02903
Image ClassificationonImageNet
Top 1 Accuracy· uses extra data
76.3
best: 88.3 (Unicom (ViT-L/14@336px) (Finetuned))
Image ClassificationonImageNet
Top 5 Accuracy· uses extra data
93.2
best: 99.02 (Florence-CoSwin-H)