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| Name | Year | Field | CODE | |
|---|---|---|---|---|
| LeNet | 1998 | Classification | CODE | |
| AlexNet | 2012 | Classification | CODE | |
| VGGNet | 2014 | Classification | CODE | |
| GoogLeNet | 2014 | Classification | CODE | |
| InceptionNet | 2015 | Classification | CODE | |
| ResNet | 2015 | Classification | CODE | |
| SqueezeNet | 2016 | Classification | CODE | |
| DenseNet | 2017 | Classification | CODE | |
| XceptionNet | 2017 | Classification | CODE | |
| MobileNetV1 | 2017 | Classification | CODE | |
| ShuffleNet | 2018 | Classification | Later | |
| MobileNetV2 | 2018 | Classification | CODE | |
| NASNet | 2018 | Classification | Later | |
| Squeeze Excitation Network | 2018 | Classification | CODE | |
| Residual Attention Network | 2018 | Attention Block | Later | |
| CBAM | 2018 | Attention Block | CODE | |
| EfficientNet | 2019 | Classification | CODE | |
| ViT(Vision Transformer) | 2021 | Classification | CODE | |
| Swin Transformer | 2021 | Classification | CODE | |
| ConvNeXt | 2022 | Classification | CODE |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| IOU(Intersection Over Union) | None | Metric | LINK | CODE |
| NMS(None Maximum Suppression) | None | Metric | LINK | CODE |
| mAP(Mean Average Precision) | None | Metric | LINK | CODE |
| R-CNN | 2013 | Detection | CODE | |
| Faster R-CNN | 2015 | Detection | CODE | |
| OHEM(Online Hard Example Mining) | 2016 | Detection | None | |
| YOLOv1(You Only Look Once) | 2016 | Detection | CODE | |
| SSD(Single Shot Detection) | 2016 | Detection | NONE | |
| FPN(Feature Pyramids Network) | 2017 | Detection | None |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| DeepLabV1 | 2014 | Segmentation | Later | |
| FCN(Fully Convolutional Layer) | 2015 | Segmentation | None | |
| DeConvNet(Deconvolution Network) | 2015 | Segmentation | CODE | |
| U-Net | 2015 | Segmentation | CODE | |
| SegNet | 2017 | Segmentation | CODE | |
| MultiResUNet | 2019 | Segmentation | CODE | |
| SETR | 2021 | Segmentation | Later |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| Generative Adversarial Nets | 2014 | GAN | CODE | |
| DCGAN(Deep Conloutional Generative Adversarial Nets) | 2016 | GAN | CODE | |
| InfoGAN(Information Maximizing Generative Adversarial Net) | 2016 | GAN | Later | |
| Pix2Pix(Pix2Pix Generative Adversarial Net) | 2017 | GAN | CODE |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| SRCNN(Super Resolution) | 2015 | SR | CODE | |
| EDSR(Enhanced Deep Super Resolution) | 2017 | SR | Later | CODE |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| TabNet | 2019 | Tabular | CODE | |
| ResNet for Tabular | 2022 | Tabular | CODE | |
| FT-Transformer | 2022 | Tabular | CODE |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| DKVMN(Dynamic Key-Value Memory Net) | 2017 | KT | CODE |
| Name | Year | Field | CODE | |
|---|---|---|---|---|
| CNN Base | NONE | VISION | NONE | |
| Convolutional Mechanism | NONE | VISION | NONE | |
| TTA(Test Time Augmentation) | NONE | VISION | NONE | |
| Seam Carving(Seam Carving Image Resizing) | 2007 | VISION | CODE | |
| Pseudo Label | 2013 | TRAIN | CODE | |
| Knowledge Distillation | 2015 | LOSS | CODE | |
| Transformer[Attention] | 2017 | Module | CODE | |
| ArcFace | 2019 | VISION | CODE | |
| Meta Pseudo Label | 2020 | TRAIN | CODE | |
| Embedding for Tabular | 2022 | Module | CODE | |
| RMDL(Recalibrated multi instance DL) | 2019 | TRAIN | LINK | CODE |