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

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

implement some algorithms of 6d pose estimation

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

keras implementation of unet plus plus

A sentence segmenter that actually works!

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

3D Unet for Isointense Infant Brain Image Segmentation

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Sandbox for training deep learning networks

Web application for image labeling and segmentation

A concise code for training and evaluating Unet using tensorflow+keras

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Open solution to the Data Science Bowl 2018

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

An awesome semantic segmentation model that runs in real time

Perception toolkit for sim2real training and validation

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

3D Graph Neural Networks for RGBD Semantic Segmentation

PyTorch Implementation of Stacked U-Nets (SUNets)

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

Papers and Datasets about Point Cloud.

Intensity-based_Lidar_Camera_Calibration

Vocal Remover using Deep Neural Networks

Python version of Sudachi, a Japanese tokenizer.

nucleus/cell and histopathology image classification,detection,segmentation

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

deep learning for image processing including classification and object-detection etc.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Tunable U-Net implementation in PyTorch

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

PyTorch re-implementation of DeepMask

hair segmentation in mobile device

A curated list of dedicated resources and applications

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Sparse and structured neural attention mechanisms

Kaggle Segmentation Challenge

Fast (aimed to "real time") Portrait Segmentation on mobile phone

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Deep Learning for Seismic Imaging and Interpretation

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

a generalist algorithm for cellular segmentation

LiTS - Liver Tumor Segmentation Challenge

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Implementation of active contour loss function

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

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