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

[ICLR2022] official implementation of UniFormer

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

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

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

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

MetalCity - a procedural night city landscape generator

An out-of-box human parsing representation extractor.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

C++ based toolbox for the SUNCG dataset

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

BCDU-Net : Medical Image Segmentation

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

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

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

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

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

real-time network architecture for mobile devices and semantic segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

Deep Label Distribution Learning with Label Ambiguity

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

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

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

segmentation repo using pytorch

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

Develop production ready deep learning code, deploy it and scale it

Semantic Segmentation Architectures Implemented in PyTorch

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

A list of popular deep learning models related to classification, segmentation and detection problems

PyTorch implementation of DeepLabv3

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

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

🚘 Easiest Fully Convolutional Networks

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

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

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

Reimplementation of DeepLabV3

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Easily train or fine-tune SOTA computer vision models with one open source training library

基于语义分割的矿区无人机影像地物提取实验

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

A simpler way of reading and augmenting image segmentation data into TensorFlow

CRF-RNN PyTorch version http://crfasrnn.torr.vision