Papers with Code 아카이브

Semantic Segmentation

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하위 태스크

29

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150

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1,918

코드

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

https://github.com/whq-xxh/Active-GTV-Seg

공식 코드

Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals

https://github.com/whu-usi3dv/mobile-seed

공식 코드

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

https://github.com/willbeanyang/swin-der

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Optimizing Medical Image Segmentation with Advanced Decoder Design

https://github.com/wimmerth/scale-equivariant-3d-convnet

공식 코드

Scale-Equivariant Deep Learning for 3D Data

https://github.com/windstormer/Cfd-CAM

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A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation

https://github.com/windstormer/ame-cam

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AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor

https://github.com/windygoo/pathcontext

공식 코드

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images

https://github.com/windygoo/promptnucseg

공식 코드

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation

https://github.com/wingrune/segmatron

공식 코드

SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment

https://github.com/wintercodeforeverything/sarnet

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SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds

https://github.com/winterpan2017/proto2seg

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Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation

https://github.com/winycg/cirkd

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Cross-Image Relational Knowledge Distillation for Semantic Segmentation

https://github.com/winycg/self-kd-lib

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MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

https://github.com/wizaca23/BBBC006-Instance-Segmentation

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Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images

https://github.com/wjf5203/SeqFormer

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SeqFormer: Sequential Transformer for Video Instance Segmentation

https://github.com/wjf5203/vnext

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In Defense of Online Models for Video Instance Segmentation

https://github.com/wjh892521292/lkm-unet

공식 코드

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

https://github.com/wjh892521292/lma-unet

공식 코드

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

https://github.com/wjn922/referformer

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Language as Queries for Referring Video Object Segmentation

https://github.com/wkklavis/dapsam

공식 코드

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

https://github.com/wl-zhao/VPD

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Unleashing Text-to-Image Diffusion Models for Visual Perception

https://github.com/wlsdzyzl/flemme

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Flemme: A Flexible and Modular Learning Platform for Medical Images

https://github.com/wltyby/hnts-mrg2024_train_code

공식 코드

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet

https://github.com/wnn2000/fedaaai

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FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

https://github.com/wofmanaf/ResT

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ResT V2: Simpler, Faster and Stronger

https://github.com/wofmanaf/SA-Net

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SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

https://github.com/woldier/siamseg

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SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

https://github.com/wollf2008/IKD-MIL

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Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels

https://github.com/wong-ck/DeepSegment

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Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI

https://github.com/woo-soojin/context-based-vlpr

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Context-Based Visual-Language Place Recognition

https://github.com/wooboyeong/anomaly-aware-3d-segmentation

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Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative

https://github.com/woodywff/brats_2019

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3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

https://github.com/woodywff/nas_3d_unet

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Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

https://github.com/wooseok-shin/PrevMatch

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Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation

https://github.com/workforai/UniLSeg

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Universal Segmentation at Arbitrary Granularity with Language Instruction

https://github.com/workforai/gsfm

공식 코드

Global Spectral Filter Memory Network for Video Object Segmentation

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