530 Open source projects that are alternatives of or similar to Cen

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

A light-weight, power efficient, and general purpose convolutional neural network

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Real-Time 3D Semantic Reconstruction from 2D data

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

A curated list of neural network pruning resources.

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

A semantic segmentation toolbox based on PyTorch

Keras BiseNet architecture implementation

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

U-NET Semantic Segmentation model for Mobile

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

SegNet implementation & experiments in Chainer

Tensorflow implementation of ICLR2019 paper "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency"

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

A patch for using DepthKit volumetric videos in Max/MSP/Jitter

PSPNet in Chainer

HyperSeg - Official PyTorch Implementation

Pruning and other network surgery for trained Keras models.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

PyTorch implementation of CycleGAN

Code for https://arxiv.org/abs/1611.10080

Official PyTorch implementation of SegFormer

Deep learning applied to georeferenced datasets

Work in Progress. A SLAM implementation based on plane and superquadric tracking.

CycleGAN Tensorflow 2

This is the example implementation of UNet model for semantic segmentations

Keras model convolutional filter pruning package

Guided Image-to-Image Translation Papers

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Coding dense visual odometry in a little more than a night (yikes)!

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

yolov3 network slimming剪枝的一种实现

TensorFlow implementation of LinkNet

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

FasterAI: A repository for making smaller and faster models with the FastAI library.

An out-of-box human parsing representation extractor.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

BCDU-Net : Medical Image Segmentation

A package to make do Network Slimming a little easier

Model for document segmentation trained on the midv-500-models dataset.

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Tools to Design or Visualize Architecture of Neural Network

segmentation paper reading notes

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.