Papers with Code 아카이브
Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/NoviceMAn-prog/MSRF-Net
공식 코드MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
https://github.com/Nuisal/cellseg1
공식 코드https://github.com/OFRIN/PuzzleCAM
공식 코드Puzzle-CAM: Improved localization via matching partial and full features
https://github.com/ORippler/MSD_2018
공식 코드AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
https://github.com/Omid-Nejati/Dilated_Unet
공식 코드https://github.com/OpenGVLab/SAM-Med2D
공식 코드https://github.com/OpenMask3D/openmask3d
공식 코드https://github.com/PJLallen/InstanceSAM2Eval
공식 코드Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation
https://github.com/PKU-EPIC/GAPartNet
공식 코드https://github.com/POSTECH-CVLab/FastPointTransformer
공식 코드https://github.com/POSTECH-CVLab/PeRFception
공식 코드https://github.com/PRBonn/semantic-kitti-api
공식 코드SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
https://github.com/Pablo1990/3D-deep-segmentation-protocol
공식 코드Single cell resolution 3D imaging and segmentation within intact live tissues
https://github.com/PaddlePaddle/PaddleClas
공식 코드HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
https://github.com/PaddlePaddle/PaddleSeg
공식 코드PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
https://github.com/PedroRASB/COVID-19-detection-with-lung-segmentation
공식 코드COVID-19 detection using chest X-rays: is lung segmentation important for generalization?
https://github.com/Peilun-Li/SG-GAN
공식 코드Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
https://github.com/Pele324/ChronicWoundSeg
공식 코드Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
https://github.com/PengyiZhang/ACCL
공식 코드ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
https://github.com/PengyiZhang/DRR4Covid
공식 코드https://github.com/Pixie8888/GFS-3DSeg_GWs
공식 코드Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
https://github.com/Pointcept/Pointcept
공식 코드https://github.com/PramaLLC/BEN
공식 코드BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
https://github.com/Precision-Medical-Imaging-Group/BraTS2024-PEDS
공식 코드https://github.com/Prof-Pratik-Shah-Lab-UCI/skin_project_2024
공식 코드https://github.com/Project-MONAI/MONAI
공식 코드https://github.com/Project-MONAI/VISTA
공식 코드VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography
https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR
공식 코드Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR/BRATS21
공식 코드Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
https://github.com/Project-MONAI/research-contributions/tree/master/UNETR/BTCV
공식 코드https://github.com/Project-MONAI/tutorials/tree/master/automl/DiNTS
공식 코드DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
https://github.com/QIU023/SATS_Continual_Semantic_Seg
공식 코드SATS: Self-Attention Transfer for Continual Semantic Segmentation
https://github.com/QQTh4/NAS4Ultrasound
공식 코드SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation
https://github.com/QTJiebin/MAD_Segmentation
공식 코드Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
https://github.com/QiZhangsama/P-MSDiff
공식 코드P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.