paper-with-me

Image Classification 벤치마크

Image Classification on GasHisSDB

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Accuracy

96.9 97.36 97.82 98.28 98.74 2015-12 2026-09 ResNet-50 — 98.56 (2015-12-10) ResNet-18 — 98.47 (2015-12-10) DenseNet-169 — 96.9 (2016-08-25) ResNeXt-50-32x4d — 98.59 (2016-11-16) Res2Net-50 — 98.68 (2019-04-02) EfficientNet-b0 — 98.11 (2019-05-28) RegNetY-3.2GF — 97.48 (2021-01-03) CoAtNet-1 — 98.74 (2021-06-09) ResNet-50 — 98.56 (2015-12-10) ResNeXt-50-32x4d — 98.59 (2016-11-16) Res2Net-50 — 98.68 (2019-04-02) CoAtNet-1 — 98.74 (2021-06-09)
RankModel AccuracyPrecisionF1-Score PaperCodeYear
1 CoAtNet-1 98.7499.9799.38 CoAtNet: Marrying Convolution and Attention for All Data Sizes rwightman/pytorch-image-models · xmu-xiaoma666/External-Attention-pytorch · leondgarse/keras_cv_attention_models · +11 2021
2 Res2Net-50 98.6899.9199.29 Res2Net: A New Multi-scale Backbone Architecture rwightman/pytorch-image-models · open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · +31 2019
3 ResNeXt-50-32x4d 98.5999.9499.25 Aggregated Residual Transformations for Deep Neural Networks pytorch/vision · NVIDIA/DeepLearningExamples · open-mmlab/mmpose · +58 2016
4 ResNet-50 98.5699.9499.24 Deep Residual Learning for Image Recognition tensorflow/models · tensorflow/models · tensorflow/models · +481 2015
5 ResNet-18 98.4799.9499.19 Deep Residual Learning for Image Recognition tensorflow/models · tensorflow/models · tensorflow/models · +481 2015
6 EfficientNet-b0 98.1199.9499.01 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ultralytics/yolov5 · rwightman/pytorch-image-models · open-mmlab/mmdetection · +141 2019
7 RegNetY-3.2GF 97.4899.9798.70 RegNet: Self-Regulated Network for Image Classification keras-team/keras · mindspore-ecosystem/mindcv · TrevorIkky/RegNet · +11 2021
8 DenseNet-169 96.9099.9198.38 Densely Connected Convolutional Networks pytorch/vision · pytorch/vision · PaddlePaddle/PaddleClas · +143 2016
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