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/feevos/ssg2

공식 코드

SSG2: A new modelling paradigm for semantic segmentation

https://github.com/feinanshan/FANet

공식 코드

Real-time Semantic Segmentation with Fast Attention

https://github.com/feipanir/moda

공식 코드

MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation

https://github.com/feixiangzhou/smc-nca

공식 코드

SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation

https://github.com/felime/brain_sas_baseline

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Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI

https://github.com/felixduelmer/dopus

공식 코드

DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal

https://github.com/fenghetan9/cmu-net

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CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

https://github.com/fenghetan9/cmunext

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CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion

https://github.com/fenghetan9/llm4seg

공식 코드

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

https://github.com/fenghetan9/mobileutr

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MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

https://github.com/fengluodb/lenet

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LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

https://github.com/fengzicai/cluster3dseg

공식 코드

Clustering based Point Cloud Representation Learning for 3D Analysis

https://github.com/fepegar/resseg-ijcars

공식 코드

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

https://github.com/fferflo/semantic-meshes

공식 코드

Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes

https://github.com/fgnt/graph_pit

공식 코드

Utterance-by-utterance overlap-aware neural diarization with Graph-PIT

https://github.com/fgnt/spatiospectral_diarization

공식 코드

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering

https://github.com/fh2019ustc/polysnake

공식 코드

Recurrent Generic Contour-based Instance Segmentation with Progressive Learning

https://github.com/fidler-lab/polyrnn-pp-pytorch

공식 코드

Annotating Object Instances with a Polygon-RNN

https://github.com/fidshu/srsnet

공식 코드

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution

https://github.com/fieldsoftheworld/ftw-baselines

공식 코드

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

https://github.com/fiftywu/Multimodal-VPR

공식 코드

Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space

https://github.com/finnbehrendt/ensembled-ssim-for-unsupervised-anomaly-detection

공식 코드

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection

https://github.com/firatozdemir/LwfSeg-AeiSeg

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Extending Pretrained Segmentation Networks with Additional Anatomical Structures

https://github.com/firstmover/cr-seg

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Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series

https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets

공식 코드

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification

https://github.com/fitushar/Skin-lesion-Segmentation-using-grabcut

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Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space

https://github.com/fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

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Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features

https://github.com/fiy2w/cmda2022.superpolymerization

공식 코드

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning

https://github.com/fjr9516/da_nnunet

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Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

https://github.com/fk128/sarcopenia-ai

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Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment

https://github.com/fkhan98/medical-image-segmentation-with-attention-based-residual-double-u-net

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AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net

https://github.com/fkong7/meshdeformnet

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A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction

https://github.com/flofive/dinov2-x-geosciences

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DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability

https://github.com/fmi-basel/RDCNet

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RDCNet: Instance segmentation with a minimalist recurrent residual network

https://github.com/fmlinks/domain

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Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels

https://github.com/fmusio/topcowsubmissions

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Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.