https://github.com/ydhongHIT/DDRNet
공식 코드Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Papers with Code 아카이브
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/yotamgurfinkel/deeplearningondevice
공식 코드Deep Learning on Home Drone: Searching for the Optimal Architecture
https://github.com/ywangeq/PointSeg
공식 코드PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
https://github.com/zhouyuan888888/sgcpnet
공식 코드Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation
https://github.com/0bserver07/Keras-SegNet-Basic
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/163GitHub/AI
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/fcn-4
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/E-NET
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FCN8s
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/fastscnn
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/hardnet
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/PSPNet
https://github.com/2023-MindSpore-1/ms-code-42
https://github.com/2023-MindSpore-1/ms-code-46
https://github.com/2023-MindSpore-4/Code-5/tree/main/hardnet
https://github.com/2023-MindSpore-4/Code-5/tree/main/lite-hrnet
https://github.com/2023-MindSpore-4/Code10/tree/main/FCN8s
https://github.com/2023-MindSpore-4/Code2/tree/main/DecoMR
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
https://github.com/2024-MindSpore-1/Code4/tree/main/DeepLabV3P
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/AayushKrChaudhary/RITnet
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
https://github.com/AceCoooool/LEDNet
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
https://github.com/AleksBanbur/EE8204---Real-Time-Multi-Task-Learning
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
https://github.com/AmrElsersy/PointPainting
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/AndreiMoraru123/Hydra
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
https://github.com/AngeLouCN/CFPNet
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
https://github.com/AnirudhAchal/Human-Parsing
https://github.com/ArashJavan/PointSeg
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
https://github.com/ArkaJU/SegNet---Chromosome
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/AsafBarZvi/Liver_project
https://github.com/Asthestarsfalll/BiSeNet-MegEngine
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/Asthestarsfalll/PSPNet-MegEngine
https://github.com/AzogDefiler/Sandbox
https://github.com/BOBrown/deeparsing-master
https://github.com/BardOfCodes/pytorch_deeplab_large_fov
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/Bigpingping97/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.