387 Open source projects that are alternatives of or similar to Bisenetv2 Tensorflow

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Segmentation of ID Cards using Semantic Segmentation

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Collection of computer vision models, ready to be included in a JVM project

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

RefineNet-101 VOC in PyTorch

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

C++ based toolbox for the SUNCG dataset

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Deep Label Distribution Learning with Label Ambiguity

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

📚 A collection of papers about Referring Image Segmentation.

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

TFslim based semantic segmentation models, modular&extensible boutique design

SegNet implementation & experiments in Chainer

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

parsing scene images with understanding geometric perspective in the loop

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

SegSort: Segmentation by Discriminative Sorting of Segments

lightweight and efficient cnn for semantic segmentation, my blog address:

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

tensorflow version of unet

End-to-end image segmentation kit based on PaddlePaddle.

Semantic Scene Completion

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

PyTorch for Semantic Segmentation

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

Using modified BiSeNet for face parsing in PyTorch

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

FrostNet: Towards Quantization-Aware Network Architecture Search

Web labeling tool for bitmap images and point clouds

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

An open source framework for deep learning on satellite and aerial imagery.

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

3D U-Net model for volumetric semantic segmentation written in pytorch

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.