Papers with Code 아카이브

Segmentation

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코드

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

https://github.com/AMiiR-S/Inceptnet_cancer_recognition

공식 코드

INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses

https://github.com/ANQIFENG/RATNUS

공식 코드

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs

https://github.com/AVC2-UESTC/OV2VSS

공식 코드

Towards Open-Vocabulary Video Semantic Segmentation

https://github.com/Aarhus-RadOnc-AI/MedSAM_multimodality_HNC_GTV_segmentation

공식 코드

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images

https://github.com/Agricultural-Robotics-Bonn/reproj_rnn

공식 코드

Explicitly incorporating spatial information to recurrent networks for agriculture

https://github.com/Ahmadreza-Jeddi/rloss

공식 코드

Tackling the Problem of Limited Data and Annotations in Semantic Segmentation

https://github.com/AlbertSuarez/object-cut

공식 코드

Boundary-Aware Segmentation Network for Mobile and Web Applications

https://github.com/AlessandroSaviolo/HBPSegmentation

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Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks

https://github.com/Ali2500/HODOR

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Differentiable Soft-Masked Attention

https://github.com/Ali2500/TarViS

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TarViS: A Unified Approach for Target-based Video Segmentation

https://github.com/AliaksandrSiarohin/motion-cosegmentation

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Motion-supervised Co-Part Segmentation

https://github.com/Amirhosein2c/MIP-DDPM

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How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models

https://github.com/AnTao97/SegGroup

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SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

https://github.com/AnandK27/GS-TransUNet

공식 코드

GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis

https://github.com/AnasIbrahim/image_agnostic_segmentation

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DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping

https://github.com/Andreas-Pfeuffer/LSTM-ICNet

공식 코드

Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation

https://github.com/Andrewsher/X-Net

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X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

https://github.com/AngeLouCN/CFPNet-Medicine

공식 코드

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

https://github.com/AngeLouCN/CaraNet

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CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

https://github.com/AngeLouCN/SAM-2_Surgical_Video

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Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

https://github.com/AnnekeMeyer/AnisotropicMultiStreamCNN

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Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI

https://github.com/AntoniaLovjer/learntodrive

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Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge

https://github.com/AnyiRao/SceneSeg

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A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

https://github.com/ArantxaCasanova/ralis

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Reinforced active learning for image segmentation

https://github.com/Arksyd96/synthesis-with-slice-based-ldm

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3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes

https://github.com/Aryal007/glacier_mapping

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Boundary Aware U-Net for Glacier Segmentation

https://github.com/Asunatan/LM-Net

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LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation

https://github.com/Att100/DDUNet

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DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation

https://github.com/AyanKumarBhunia/Deep-One-Shot-Logo-Retrieval

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A Deep One-Shot Network for Query-based Logo Retrieval

https://github.com/BBillot/SynthSeg

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A Learning Strategy for Contrast-agnostic MRI Segmentation

https://github.com/BCV-Uniandes/ISINet

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ISINet: An Instance-Based Approach for Surgical Instrument Segmentation

https://github.com/BCV-Uniandes/ROG

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Towards Robust General Medical Image Segmentation

https://github.com/BPYap/Cut-Paste-Consistency

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Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation

https://github.com/BR-IDL/PaddleViT

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Fully Transformer Networks for Semantic Image Segmentation

https://github.com/BRML/CNNbasedMedicalSegmentation

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CNN-based Segmentation of Medical Imaging Data

https://github.com/Bala93/Context-aware-segmentation

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A context based deep learning approach for unbalanced medical image segmentation

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