Papers with Code 아카이브

Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

5

보존된 평가 기록

6

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module

SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction

A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique

Unified Medical Image Segmentation with State Space Modeling Snake

SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation

Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks

A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan

Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations

I$^2$R: Inter and Intra-image Refinement in Few Shot Segmentation

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation

NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models

Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation

No time to train! Training-Free Reference-Based Instance Segmentation

NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Autoadaptive Medical Segment Anything Model

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays

Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation

GroundingDINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation

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