1044 Open source projects that are alternatives of or similar to Tusimple Duc

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

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Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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

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Gluon CV Toolkit

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Official PyTorch implementation of SegFormer

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PSPNet in Chainer

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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.

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Implementation details for EDANet

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

AttaNet for real-time semantic segmentation.

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

Pytorch code for semantic segmentation using ERFNet

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

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

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Sandbox for training deep learning networks

python implementation of efficient convolution operators for tracking

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Semantic Scene Completion

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

nGraph has moved to OpenVINO

Gluon to PyTorch deep neural network model converter

Open standard for machine learning interoperability

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

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

SOTA Semantic Segmentation Models in PyTorch

An Engine-Agnostic Deep Learning Framework in Java

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

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Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

This repository contains the source code of our work on designing efficient CNNs for computer vision

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation