Martin Engelcke's starred repositories
pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
linearized_multisampling_release
Code release for ICCV 2019 Oral, "Linearized Multi-Sampling for Differentiable Image Transformation"
inverse-compositional-STN
Inverse Compositional Spatial Transformer Networks :performing_arts: (CVPR 2017 oral)
NAS-Bench-201
NAS-Bench-201 API and Instruction
SceneNetv1.0
Still a work in progress and adding code..
rcnn-depth
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Matterport
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
Batch-Renormalization-PyTorch
Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .
vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch