Papers with Code 아카이브

Semantic Segmentation

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하위 태스크

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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/JimTheBarbarian/Official-TTV-Segmentation

공식 코드

An Image Segmentation Model with Transformed Total Variation

https://github.com/Jin-Ying/GTA-Seg

공식 코드

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

https://github.com/JindongJiang/RedNet

공식 코드

RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation

https://github.com/JingchunCheng/FAVOS

공식 코드

Fast and Accurate Online Video Object Segmentation via Tracking Parts

https://github.com/JingchunCheng/SegFlow

공식 코드

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

https://github.com/Jingkang50/OpenPSG

공식 코드

4D Panoptic Scene Graph Generation

https://github.com/JizhiziLi/GFM

공식 코드

Bridging Composite and Real: Towards End-to-end Deep Image Matting

https://github.com/JoetheReindeer/multiPI_TransBTS

공식 코드

multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information

https://github.com/JohnleeHIT/Brats2019

공식 코드

Multi-step Cascaded Networks for Brain Tumor Segmentation

https://github.com/JoseLGomez/Co-training_SemSeg_UDA

공식 코드

Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models

https://github.com/JosephChenHub/DPANet

공식 코드

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

https://github.com/JosephPB/XNet

공식 코드

XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets

https://github.com/Juliachang/SC-CAM

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Weakly-Supervised Semantic Segmentation via Sub-category Exploration

https://github.com/Jumponthemoon/WeatherDG

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WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation

https://github.com/Jun-Pu/UCOS-DA

공식 코드

Unsupervised Camouflaged Object Segmentation as Domain Adaptation

https://github.com/JunMa11/HM_DataAug

공식 코드

Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation

https://github.com/JunMa11/SegLoss

공식 코드

Segmentation Loss Odyssey

https://github.com/Junjue-Wang/LoveDA

공식 코드

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

https://github.com/Junjue-Wang/LoveNAS

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LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

https://github.com/JunweiZheng93/APES

공식 코드

Attention-based Point Cloud Edge Sampling

https://github.com/Junyi42/sd-dino

공식 코드

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

https://github.com/JuzhengMiao/CPC-SAM

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Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

https://github.com/Jyxarthur/flowsam

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Moving Object Segmentation: All You Need Is SAM (and Flow)

https://github.com/KAIST-Visual-AI-Group/PartSTAD

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PartSTAD: 2D-to-3D Part Segmentation Task Adaptation

https://github.com/KAIST-vilab/SpherPHD_public

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SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images

https://github.com/KBergermann/MultilayerSSL

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Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products

https://github.com/KCL-BMEIS/ScribbleDA

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Scribble-based Domain Adaptation via Co-segmentation

https://github.com/KIT-IAI/EasyMLServe

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EasyMLServe: Easy Deployment of REST Machine Learning Services

https://github.com/KPeng9510/MASS

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MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

https://github.com/KU-CVLAB/CAT-Seg

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CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation

https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch

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Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

https://github.com/KaimingHe/resnet-1k-layers

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Deep Residual Learning for Image Recognition

https://github.com/Kainmueller-Lab/PatchPerPix

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PatchPerPix for Instance Segmentation

https://github.com/Kainmueller-Lab/shift_equivariance_unet

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How Shift Equivariance Impacts Metric Learning for Instance Segmentation

https://github.com/KangchengLiu/Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

공식 코드

Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation

https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast

공식 코드

Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast

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