Deci-AI/super-gradients - 03bde85e88c011da6d22c019a65ac8467b8226a7 | DagsHub

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Implemented Model Architectures

Image Classification

DensNet (Densely Connected Convolutional Networks) - Densely Connected Convolutional Networks https://arxiv.org/pdf/1608.06993.pdf
DPN - Dual Path Networks https://arxiv.org/pdf/1707.01629
EfficientNet - https://arxiv.org/abs/1905.11946
GoogleNet - https://arxiv.org/pdf/1409.4842
LeNet - https://yann.lecun.com/exdb/lenet/
MobileNet - Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/pdf/1704.04861
MobileNet v2 - https://arxiv.org/pdf/1801.04381
MobileNet v3 - https://arxiv.org/pdf/1905.02244
PNASNet - Progressive Neural Architecture Search Networks https://arxiv.org/pdf/1712.00559
Pre-activation ResNet - https://arxiv.org/pdf/1603.05027
RegNet - https://arxiv.org/pdf/2003.13678.pdf
RepVGG - Making VGG-style ConvNets Great Again https://arxiv.org/pdf/2101.03697.pdf
ResNet - Deep Residual Learning for Image Recognition https://arxiv.org/pdf/1512.03385
ResNeXt - Aggregated Residual Transformations for Deep Neural Networks https://arxiv.org/pdf/1611.05431
SENet - Squeeze-and-Excitation Networkshttps://arxiv.org/pdf/1709.01507
ShuffleNet - https://arxiv.org/pdf/1707.01083
ShuffleNet v2 - Efficient Convolutional Neural Network for Mobile Deviceshttps://arxiv.org/pdf/1807.11164
VGG - Very Deep Convolutional Networks for Large-scale Image Recognition https://arxiv.org/pdf/1409.1556

Object Detection

Semantic Segmentation

PP-LiteSeg - https://arxiv.org/pdf/2204.02681v1.pdf
DDRNet (Deep Dual-resolution Networks) - https://arxiv.org/pdf/2101.06085.pdf
LadderNet - Multi-path networks based on U-Net for medical image segmentation https://arxiv.org/pdf/1810.07810
RegSeg - Rethink Dilated Convolution for Real-time Semantic Segmentation https://arxiv.org/pdf/2111.09957
ShelfNet - https://arxiv.org/pdf/1811.11254
STDC - Rethinking BiSeNet For Real-time Semantic Segmentation https://arxiv.org/pdf/2104.13188

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