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/mindspore-ai/models/tree/master/official/cv/FCN8s
https://github.com/mindspore-ai/models/tree/master/research/cv/E-NET
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
https://github.com/mindspore-ai/models/tree/master/research/cv/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/mindspore-ai/models/tree/master/research/cv/PSPNet
https://github.com/minus31/Portrait-segmentation
https://github.com/mrmtn86/python1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/mvpzhangqiu/SOLOV2
https://github.com/navganti/SIVO
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/navganti/SegNet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/neuropoly/multiclass-segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nightrome/cocostuff10k
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/nisharaichur/SegNet-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nisharaichur/segNet_tensorflow
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/oandrienko/fast-semantic-segmentation
https://github.com/oki5656/Estimating_Distance
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/ooooverflow/BiSeNet
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/open-cv/deeplab-v1
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/open-edge-platform/geti
https://github.com/open-edge-platform/training_extensions
https://github.com/open-mmlab/mmdetection
https://github.com/open-mmlab/mmpose
https://github.com/open-mmlab/mmsegmentation
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/osmr/imgclsmob
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/ozora-ogino/efficient_backbones
https://github.com/pa56/SegNet_on_Cityscapes
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/pa56/SegNetonCityscapes
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/pathak22/ccnn
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/pdoublerainbow/bisenet-tensorflow
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/petko-nikolov/pysemseg
https://github.com/pideyi1025/DeepLabV3Plus-RailSem19
https://github.com/pooruss/ICNet-Paddle2.2.0rc
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/preddy5/segnet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/pytorch/vision
https://github.com/qubvel/segmentation_models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.