paper-with-me

Classification 벤치마크

Classification on InDL

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Average Recall

84.28 86.58 88.88 91.17 93.47 2014-09 2026-11 VGG16 — 92.86 (2014-09-04) Inception ResNet V2 — 90.27 (2016-02-23) DenseNet201 — 90.99 (2016-08-25) Xception — 89.81 (2016-10-07) NASNetLarge — 89.52 (2017-07-21) Darknet53 — 88.53 (2018-04-08) MobileNetV3 — 84.28 (2019-05-06) ResNetV2_50 — 88.08 (2021-10-01) ConvNext — 93.47 (2022-01-10) VGG16 — 92.86 (2014-09-04) ConvNext — 93.47 (2022-01-10)
RankModel Average Recall PaperCodeYear
1 ConvNext 93.47% A ConvNet for the 2020s keras-team/keras · rwightman/pytorch-image-models · pytorch/vision · +51 2022
2 VGG16 92.86% Very Deep Convolutional Networks for Large-Scale Image Recognition tensorflow/models · tensorflow/models · tensorflow/models · +302 2014
3 DenseNet201 90.99% Densely Connected Convolutional Networks pytorch/vision · pytorch/vision · PaddlePaddle/PaddleClas · +143 2016
4 Inception ResNet V2 90.27% Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning tensorflow/models · tensorflow/models · Cadene/pretrained-models.pytorch · +84 2016
5 Xception 89.81% Xception: Deep Learning with Depthwise Separable Convolutions tensorflow/models · tensorflow/models · rwightman/pytorch-image-models · +38 2016
6 NASNetLarge 89.52% Learning Transferable Architectures for Scalable Image Recognition tensorflow/models · tensorflow/models · osmr/imgclsmob · +14 2017
7 Darknet53 88.53% YOLOv3: An Incremental Improvement open-mmlab/mmdetection · ultralytics/yolov3 · qqwweee/keras-yolo3 · +308 2018
8 ResNetV2_50 88.08% ResNet strikes back: An improved training procedure in timm rwightman/pytorch-image-models · open-mmlab/mmdetection · open-mmlab/mmclassification · +11 2021
9 MobileNetV3 84.28% Searching for MobileNetV3 tensorflow/models · tensorflow/models · PaddlePaddle/PaddleOCR · +64 2019
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