398 Open source projects that are alternatives of or similar to Tensorflow Enet

PyTorch Implementation for Segmentation and Saliency Prediction

C++ implementation pool for computer vision R&D projects.

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

Grid-GCN for Fast and Scalable Point Cloud Learning

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

Hand detection software built with OpenCV.

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Semi-Supervised Video Object Segmentation(VOS) Paper List

Unsupervised instance segmentation via active robot interaction

A deep-learning pipeline for segmentation of ambiguous microscopic images.

3D Graph Neural Networks for RGBD Semantic Segmentation

CNN implementation for medical X-Ray image segmentation

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Summary of Transformer applications for computer vision tasks.

CNNs for semantic segmentation using Keras library

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

Pytorch framework for doing deep learning on point clouds.

Segmentation of 3D shapes in a common anatomical space

Lung fields segmentation on CXR images using convolutional neural networks.

No description or website provided.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Fast English word segmentation in Rust

Papers and Datasets about Point Cloud.

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

The U-Net Segmentation plugin for Fiji (ImageJ)

Rectangle detection using the Hough transform

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

This repository contains the links to the article that I wrote on Medium pertaining to Image processing.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Research Pipeline for image masking/segmentation in Keras

Intensity-based_Lidar_Camera_Calibration

Fashion Item segmentation with Mask_RCNN

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Digital Pathology AI

Segmentation realize Deeperlab only segmentation part

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Python tools for working with PedX dataset.

Vocal Remover using Deep Neural Networks

Pytorch framework for doing deep learning on point clouds.

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Invariant Superpixel Features for Object Detection

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

PyTorch Connectomics: segmentation toolbox for EM connectomics

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

Kaggle airbus ship detection challenge 21st solution

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

A collection of dataset loaders

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Pointwise Rotation-Invariant Network (AAAI 2020)

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle