812 Open source projects that are alternatives of or similar to Lightnetplusplus

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

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

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

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Official PyTorch implementation of SegFormer

Pytorch code for semantic segmentation using ERFNet

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

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

SOTA Semantic Segmentation Models in PyTorch

AttaNet for real-time semantic segmentation.

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

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

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Implementation details for EDANet

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

Understanding Convolution for Semantic Segmentation

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

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

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)

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

PSPNet in Chainer

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

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

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

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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.)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Fully Convolutional HarDNet for Segmentation in Pytorch

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

A Salesforce/Force.com library for communicating with the Twilio REST API and generating TwiML. Need help? Post your questions to http://getsatisfaction.com/twilio or email us at [email protected]

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Implementation of the Point Transformer layer, in Pytorch

SObject factory that can be used in unit tests to create test data.

🚀 Declaratively schedule Process Builder, Flows, Quick Actions, Email Alerts, Workflow Rules, or Apex to process records from Reports, List Views, SOQL, or Apex.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Satellite Image Classification using semantic segmentation methods in deep learning

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

Attention mechanism Implementation for Keras.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Fully convolutional networks for semantic segmentation

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Image Captions Generation with Spatial and Channel-wise Attention

Sandbox for training deep learning networks

Education Data Architecture

Sparse and structured neural attention mechanisms

attention based joint model for intent detection and slot filling

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.