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Real-Time Semantic Segmentation

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Semantic Segmentation is a computer vision task that involves assigning a semantic label to each pixel in an image. In Real-Time Semantic Segmentation, the goal is to perform this labeling quickly and accurately in real-time, allowing for the segmentation results to be used for tasks such as object recognition, scene understanding, and autonomous navigation.

<span style="color:grey; opacity: 0.6">( Image credit: TorchSeg )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/rachthree/fast_scnn

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/renhaa/semantic-diffusion

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/reshalfahsi/NanoNet

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

https://github.com/reshalfahsi/NanoNet-PyTorch

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

https://github.com/retis-ai/patchattacktool

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

https://github.com/rickyHong/FCN-segmentation-repl

Fully Convolutional Networks for Semantic Segmentation

https://github.com/robin-chan/decision-rules

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

https://github.com/rotemgoren/segNet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/rudolfsteiner/fast_scnn

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/s9mondal9upriti/Segnet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/sacmehta/3d-espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

https://github.com/sacmehta/espnetv2-coreml

ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/sadeepj/crfasrnn_keras

Conditional Random Fields as Recurrent Neural Networks

https://github.com/sadeepj/crfasrnn_pytorch

Conditional Random Fields as Recurrent Neural Networks

https://github.com/sagieppel/Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-

Fully Convolutional Networks for Semantic Segmentation

https://github.com/sagieppel/Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation

Fully Convolutional Networks for Semantic Segmentation

https://github.com/sahadevpoudel/hardnet-mseg

HarDNet: A Low Memory Traffic Network

https://github.com/shanglianlm0525/CvPytorch

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/shekkizh/FCN.tensorflow

Fully Convolutional Networks for Semantic Segmentation

https://github.com/shelhamer/fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation

https://github.com/simuler/ESPNet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

https://github.com/sithu31296/semantic-segmentation

HarDNet: A Low Memory Traffic Network

https://github.com/soumik12345/Enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/soumik12345/Enet-Tensorflow

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/srihari-humbarwadi/ENet-A-Deep-Neural-Network-Architecture-for-Real-Time-Semantic-Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/srihari-humbarwadi/Multi-Scale-Context-Aggregation-by-Dilated-Convolutions

Multi-Scale Context Aggregation by Dilated Convolutions

https://github.com/srihari-humbarwadi/RefineNet-Multi-Path-Refinement-Networks-for-High-Resolution-Semantic-Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/stuartchen1949/segnet_paddle

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/switchablenorms/SwitchNorm_Segmentation

Pyramid Scene Parsing Network

https://github.com/tahaemara/LiteSeg

LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation

https://github.com/talshaharabany/DeepACM2D

HarDNet: A Low Memory Traffic Network

https://github.com/tejaswigowda/semseg-pytorch

Pyramid Scene Parsing Network

https://github.com/tensorflow/models

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

https://github.com/tensorflow/models/tree/master/research/deeplab

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

https://github.com/tkuanlun350/Tensorflow-SegNet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/trhieu310/customDataset

SOLOv2: Dynamic and Fast Instance Segmentation

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