Papers with Code 아카이브

Segmentation

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평가표

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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/XavierCHEN34/ClickSEG

공식 코드

FocalClick: Towards Practical Interactive Image Segmentation

https://github.com/Xiangxu-0103/FRNet

공식 코드

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

https://github.com/Xiangyi1996/PPNet-PyTorch

공식 코드

Part-aware Prototype Network for Few-shot Semantic Segmentation

https://github.com/XiaoYunZhou27/ACNN

공식 코드

ACNN: a Full Resolution DCNN for Medical Image Segmentation

https://github.com/XiaoYunZhou27/UNet-with-BN-GN-IN-LN

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Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency

공식 코드

Towards Diverse Binary Segmentation via A Simple yet General Gated Network

https://github.com/XinChenNottingham/SpatiallyConstrainedDCNN

공식 코드

A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations

https://github.com/Yaan-Wang/CRLN

공식 코드

Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation

https://github.com/YalongLiu/Refined-Segmentation-R-CNN

공식 코드

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

https://github.com/YalongLiu/Trident-Segmentation-CNN

공식 코드

Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates

https://github.com/YanchaoYang/FDA

공식 코드

FDA: Fourier Domain Adaptation for Semantic Segmentation

https://github.com/Yang-Bob/PMMs

공식 코드

Prototype Mixture Models for Few-shot Semantic Segmentation

https://github.com/YangZhang4065/AdaptationSeg

공식 코드

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

https://github.com/YangjiaqiDig/TACLNet

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A Topology-Attention ConvLSTM Network and Its Application to EM Images

https://github.com/Yangzhangcst/AF-graph

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Affinity Fusion Graph-based Framework for Natural Image Segmentation

https://github.com/YaoZhang93/MAML

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Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

https://github.com/YaoZhang93/Semi-supervised-Cardiac-Image-Segmentation-via-Label-Propagation-and-Style-Transfer

공식 코드

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer

https://github.com/Yaozhuwa/FisheyeSeg

공식 코드

Universal Semantic Segmentation for Fisheye Urban Driving Images

https://github.com/YeLyuUT/MSDNet

공식 코드

UAVid: A Semantic Segmentation Dataset for UAV Imagery

https://github.com/YichiZhang98/DTML

공식 코드

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

https://github.com/YingdaXia/SynthCP

공식 코드

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

https://github.com/YingjieYin/Directional-Deep-Embedding-and-Appearance-Learning-for-Fast-Video-Object-Segmentation

공식 코드

Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation

https://github.com/YininKorea/Contour-aware-equipotential-learning

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Contour-Aware Equipotential Learning for Semantic Segmentation

https://github.com/YouHuang67/focsam

공식 코드

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything

https://github.com/YtongXie/CoTr

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CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

https://github.com/YtongXie/MB-DCNN

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A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

https://github.com/YuHengsss/Trident

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Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

https://github.com/YudeWang/SSENet-pytorch

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Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

https://github.com/YunChunChen/MaCoSNet-pytorch

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Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

https://github.com/Yundi-Zhang/DiSK

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Direct Cardiac Segmentation from Undersampled K-space Using Transformers

https://github.com/Yussef93/FewShotCellSegmentation

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Few-Shot Microscopy Image Cell Segmentation

https://github.com/YutingXiao/Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior

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Amodal Segmentation Based on Visible Region Segmentation and Shape Prior

https://github.com/YuvalNirkin/hyperseg

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HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

https://github.com/Yuxuan-Wen/Sim2real-Guidewire-Seg

공식 코드

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy

https://github.com/Z-Zheng/FarSeg

공식 코드

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

https://github.com/ZE-WEN/DendriteSAM

공식 코드

Segment Anything for Dendrites from Electron Microscopy

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