Papers with Code 아카이브
Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 150
- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JonathonLuiten/PReMVOS
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
https://github.com/JonathonLuiten/TrackEval
https://github.com/Jonydom/Faster-RCNN
https://github.com/JuliaCarosi/registros
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
https://github.com/Julien-pour/music_classifcation
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/Jun-CEN/Open-World-Semantic-Segmentation
https://github.com/JunMa11/COVID-19-CT-Seg-Benchmark
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation
https://github.com/JunMa11/SegWithDistMap
https://github.com/JungSeokWoo/Lightweight-LaneDetection
Towards Lightweight Lane Detection by Optimizing Spatial Embedding
https://github.com/Junjue-Wang/FactSeg
https://github.com/JunnYu/x-transformers-paddle
https://github.com/JusperLee/Deep-Clustering-for-Speech-Separation
Deep clustering: Discriminative embeddings for segmentation and separation
https://github.com/K-Mike/Automatic-salt-deposits-segmentation
Hypercolumns for Object Segmentation and Fine-grained Localization
https://github.com/KHKHG/yolact
https://github.com/KMnP/fashionpedia-api
https://github.com/KPMG-wiseuniv/AI
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/KUR-creative/SickZil-Machine
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/KaFaiFai/MobileNet-PyTorch
https://github.com/KaFaiFai/MobileNet-PyTorch-Converter
https://github.com/Kaido0/Brain-Tissue-Segment-Keras
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
https://github.com/KaidongLi/tf-3d-alpha
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/KaimingHe/deep-residual-networks
https://github.com/KamitaniLab/cnnpref
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/KangJier/polarMask
PolarMask: Single Shot Instance Segmentation with Polar Representation
https://github.com/KarimaCha/CNN_Trust_Prediction
https://github.com/KarthikDulam/U-NetCNN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/KatherLab/HIA
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/KatherineBaq/NMA-CN2021-fMRI_vs_DNNs
https://github.com/Kaushal28/Bengali-AI
https://github.com/Kaushal28/CutMix-Regularization-using-PyTorch
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
https://github.com/Kaustav97/Colab
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
https://github.com/Kaz-K/robust-glioma-segmentation
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
https://github.com/KellerJordan/ResNet-PyTorch-CIFAR10
https://github.com/KellyHwong/rethinking_generalization
https://github.com/KenYu910645/perspective-aware-convolution
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.