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

코드

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

https://github.com/xq141839/HRMedSeg

공식 코드

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling

https://github.com/xq141839/esp-medsam

공식 코드

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation

https://github.com/xq141839/nusegdg

공식 코드

NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation

https://github.com/xq141839/sppnet

공식 코드

SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation

https://github.com/xrt11/tumor-segmentation

공식 코드

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation

https://github.com/xtie97/hnts-mrg24-uwlair

공식 코드

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer

https://github.com/xuebinqin/DIS

공식 코드

Highly Accurate Dichotomous Image Segmentation

https://github.com/xuhu0529/sags

공식 코드

SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition

https://github.com/xulabs/aitom

공식 코드

Training-free CryoET Tomogram Segmentation

https://github.com/xulianuwa/AuxSegNet

공식 코드

Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

https://github.com/xumengyaamy/synthetic_cat_sd

공식 코드

Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery

https://github.com/xushilin1/fashionformer

공식 코드

Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition

https://github.com/xushilin1/rap-sam

공식 코드

RAP-SAM: Towards Real-Time All-Purpose Segment Anything

https://github.com/xuxiaoxxxx/3DSS-VLG

공식 코드

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

https://github.com/xuzhang1211/pvpuformer

공식 코드

PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation

https://github.com/xuzhang1211/vpuformer

공식 코드

PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation

https://github.com/xuzhez/mapseg

공식 코드

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

https://github.com/xvjiarui/VFS

공식 코드

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

https://github.com/xwmaxwma/rssegmentation

공식 코드

LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images

https://github.com/xxxliu95/RA_FA_Cardiac

공식 코드

Disentangled Representations for Domain-generalized Cardiac Segmentation

https://github.com/xychen2022/VersatileSegmentation

공식 코드

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation

https://github.com/xyimaging/fnpc

공식 코드

False Negative/Positive Control for SAM on Noisy Medical Images

https://github.com/xyjbaal/FPCC

공식 코드

FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking

https://github.com/xypu98/cwsam

공식 코드

ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

https://github.com/xyx1024/SimTxtSeg

공식 코드

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

https://github.com/xzz2/pa-sam

공식 코드

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation

https://github.com/y-tarl/c3s3

공식 코드

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation

https://github.com/y2863/MetaGraspNet

공식 코드

MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis

https://github.com/yabufarha/ms-tcn

공식 코드

MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

https://github.com/yan-hao-tian/lawin

공식 코드

Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention

https://github.com/yandex-research/ddpm-segmentation

공식 코드

Label-Efficient Semantic Segmentation with Diffusion Models

https://github.com/yanfengliu/layered_embeddings

공식 코드

Layered Embeddings for Amodal Instance Segmentation

https://github.com/yangfei1223/crfconv

공식 코드

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

https://github.com/yanghan-yh/ugs-net

공식 코드

Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism

https://github.com/yangjiaqidig/WSSS-AGM

공식 코드

A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT Segmentation

https://github.com/yanglanou/patcher

공식 코드

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation

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