SOTA

SOTA's Implementations

This repository contains model definitions, training scripts, and other examples for Keras (Tensorflow backend) & PyTorch implementations for classification, detection, and segmentation (computer vision).

Models

Classification

• LeNet [Paper] [PyTorch] [Tensorflow]
• AlexNet Paper
• VGG16 and VGG19 [Paper] [PyTorch]
• ResNet Paper
• YOLO9000 Paper
• DenseNet Paper

Detection

• Faster RCNN Paper
• SSD Paper
• YOLOv2 Paper
• R-FCN Paper

Segmentation

• FCN8 Paper
• SegNet [Paper] [PyTorch]
• U-Net [Paper] [PyTorch]
• E-Net Paper
• ResNetFCN Paper
• PSPNet Paper
• Mask RCNN Paper

Datasets

Classification

• MNIST
• CIFAR-10
• MNIST-Fashion
• ImageNet
• Pascal VOC

Detection

• Pascal VOC
• LISA Traffic Sign
• KITTI
• MSCOCO

Segmentation

• CamVid
• Cityscapes
• Pascal VOC
• KITTI
• SYNTHIA
• GTA-V Segmentation
• MSCOCO