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/bcmi/CaGNet-Zero-Shot-Semantic-Segmentation

공식 코드

Context-aware Feature Generation for Zero-shot Semantic Segmentation

https://github.com/bcmi/CaGNetv2-Zero-Shot-Semantic-Segmentation

공식 코드

From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation

https://github.com/bcmi/simformer-weak-shot-semantic-segmentation

공식 코드

Weak-shot Semantic Segmentation via Dual Similarity Transfer

https://github.com/bcv-uniandes/grasp

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Pixel-Wise Recognition for Holistic Surgical Scene Understanding

https://github.com/bcv-uniandes/job-vs

공식 코드

JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images

https://github.com/bcv-uniandes/matis

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MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

https://github.com/bcv-uniandes/tapir

공식 코드

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

https://github.com/bdecost/pixelnet

공식 코드

High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel

https://github.com/beginner-cjh/medvkan

공식 코드

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation

https://github.com/beileicui/ms-tfal

공식 코드

Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

https://github.com/benbergner/cropr

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Token Cropr: Faster ViTs for Quite a Few Tasks

https://github.com/benbergner/emil

공식 코드

Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays

https://github.com/benediktkol/recursive-noise-diffusion

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Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion

https://github.com/benjaminfiltjens/ms-gcn

공식 코드

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

https://github.com/berenslab/retinal-vessel-segmentation-benchmark

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Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization

https://github.com/berkeley-hipie/hipie

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Hierarchical Open-vocabulary Universal Image Segmentation

https://github.com/berkels/msiplib

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A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation

https://github.com/bermanmaxim/LovaszSoftmax

공식 코드

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

https://github.com/bethgelab/siamese-mask-rcnn

공식 코드

One-Shot Instance Segmentation

https://github.com/bharathprabakaran/boundarycam

공식 코드

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images

https://github.com/bharathprabakaran/refit

공식 코드

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images

https://github.com/biclab/spike2former

공식 코드

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation

https://github.com/bilel-bj/unsupervised-domain-adaptation-gan

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Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

https://github.com/billhhh/MCKD

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Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data

https://github.com/billhhh/ShaSpec

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Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling

https://github.com/binalab/rescuenet-a-high-resolution-post-disaster-uav-dataset-for-semantic-segmentation

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RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment

https://github.com/bingogome/samm

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SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM

https://github.com/binhuixie/spcl

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SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning

https://github.com/binycn/dcpa

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Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation

https://github.com/bio-mlhui/lgrnet

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LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

https://github.com/biolins/insideness_data

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Do Neural Networks for Segmentation Understand Insideness?

https://github.com/biomedia-mbzuai/brats2024_biomediambz

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On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks

https://github.com/biomedia-mbzuai/contrastive-echo

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Contrastive Pretraining for Echocardiography Segmentation with Limited Data

https://github.com/biomedia-mbzuai/rp-sam2

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RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation

https://github.com/biomedia-mira/stochastic_segmentation_networks

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Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

https://github.com/biomedical-data-analysis-laboratory/adnet-for-ais-segmentation

공식 코드

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

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