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SotA/Computer Vision/Image Classification/DTD

Image Classification on DTD

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1Linear FT(ViT-L/14)90YesTask Arithmetic in the Tangent Space: Improved E...2023-05-22Code
2RADAM (ConvNeXt-L)84YesRADAM: Texture Recognition through Randomized Ag...2023-03-08Code
3µ2Net+ (ViT-L/16)82.23YesA Continual Development Methodology for Large-sc...2022-09-15Code
4Bamboo (ViT-B/16)81.9YesBamboo: Building Mega-Scale Vision Dataset Conti...2022-03-15Code
5µ2Net (ViT-L/16)81YesAn Evolutionary Approach to Dynamic Introduction...2022-05-25Code
6SEER (RegNet10B - linear eval)80.5YesVision Models Are More Robust And Fair When Pret...2022-02-16Code
7Inceptionv479.79YesNon-binary deep transfer learning for image clas...2021-07-19Code
8TWIST (ResNet-50)76.6YesSelf-Supervised Learning by Estimating Twin Clas...2021-10-14Code
9TransBoost-ResNet5076.49YesTransBoost: Improving the Best ImageNet Performa...2022-05-26Code
10NNCLR75.5YesWith a Little Help from My Friends: Nearest-Neig...2021-04-29Code
11Inceptionv4 (random initialization)66.8NoNon-binary deep transfer learning for image clas...2021-07-19Code