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SotA/Computer Vision/Fine-Grained Image Classification/Food-101

Fine-Grained Image Classification on Food-101

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1CAP98.6NoContext-aware Attentional Pooling (CAP) for Fine...2021-01-17Code
2EffNet-L2 (SAM)96.18YesSharpness-Aware Minimization for Efficiently Imp...2020-10-03Code
3ALIGN95.88YesScaling Up Visual and Vision-Language Representa...2021-02-11Code
4DoD (SwinV2-B)94.9No---
5CSWin-L93.81No--Code
6Grafit (RegNet-8GF)93.7NoGrafit: Learning fine-grained image representati...2020-11-25-
7VOLO-D593.66No--Code
8EfficientNet-B793NoEfficientNet: Rethinking Model Scaling for Convo...2019-05-28Code
9Assemble-ResNet-FGVC-5092.5NoCompounding the Performance Improvements of Asse...2020-01-17Code
10µ2Net+ (ViT-L/16)91.47NoA Continual Development Methodology for Large-sc...2022-09-15Code
11NAT-M489.4NoNeural Architecture Transfer2020-05-12Code
12NAT-M389NoNeural Architecture Transfer2020-05-12Code
13NAT-M288.5NoNeural Architecture Transfer2020-05-12Code
14NAT-M187.4NoNeural Architecture Transfer2020-05-12Code