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.)

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Spatial CNN for traffic lane detection (AAAI2018)

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

Lane detection with PaddlePaddle. PPLanedet contains many SOTA methods, e.g. CondLaneNet, SCNN, RESA, RTFormer,UFLD

Implementation of Fast-SCNN using Tensorflow 2.0

No description available

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

Survival Convolutional Neural Networks

Implementation of search-convolutional neural networks (SCNNs)

cam scanner for university plate

Pytorch implementation of SCNN

Spatial CNN model in PyTorch use Cityscapes-dataset

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

A Custom RISC-V Instruction Extension for SNN and CNN Computation

Tensorflow implementation of Gated Shape CNN for Semantic Segmentation

[TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting"

A PyTorch implementation of Gated-SCNN based on ICCV 2019 paper "Gated-SCNN: Gated Shape CNNs for Semantic Segmentation"

Script for generating Spatial CNN caffe prototxt file.

Scalable Convex Neural Networks

Spatial-CNN for lane detection in MATLAB.

Implementation of CharSCNN

A simple visual debugger for SceneKit

implementation of CharSCNN and SCNN.

No description available