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/SysCV/pcan

공식 코드

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation

https://github.com/SysCV/transfiner

공식 코드

Mask Transfiner for High-Quality Instance Segmentation

https://github.com/TAMU-VITA/FasterSeg

공식 코드

FasterSeg: Searching for Faster Real-time Semantic Segmentation

https://github.com/THU-luvision/OmniSeg3D

공식 코드

OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning

https://github.com/TUI-NICR/ESANet

공식 코드

Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

https://github.com/TUM-AIMED/MoNet

공식 코드

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction

https://github.com/TUM-AIMED/PrivateSegmentation

공식 코드

Differentially private federated deep learning for multi-site medical image segmentation

https://github.com/TUTvision/Online-Panoptic-3D

공식 코드

Online panoptic 3D reconstruction as a Linear Assignment Problem

https://github.com/TWJianNuo/EdgeDepth-Release

공식 코드

The Edge of Depth: Explicit Constraints between Segmentation and Depth

https://github.com/Talegqz/unsupervised_co_part_segmentation

공식 코드

Unsupervised Co-part Segmentation through Assembly

https://github.com/TapasKumarDutta1/SAM_Mamba_2025

공식 코드

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

https://github.com/Tencent/MedicalNet

공식 코드

Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/Thinksky5124/SVTAS

공식 코드

Streaming Video Temporal Action Segmentation In Real Time

https://github.com/ThomasZiegler/Efficient-Smoothing-of-Dilated-Convolutions

공식 코드

Efficient Smoothing of Dilated Convolutions for Image Segmentation

https://github.com/ThoroughFuture/CAMEL2

공식 코드

CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio

https://github.com/ThoroughImages/CAMEL

공식 코드

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

https://github.com/TianBaoGe/DS-TransUNet

공식 코드

DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation

https://github.com/TillmannRheude/SegHiResGrad_CAM

공식 코드

Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation

https://github.com/TitorX/CFR-ICL-Interactive-Segmentation

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CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation

https://github.com/TobyPDE/FRRN

공식 코드

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

https://github.com/Tokichan/CSAD

공식 코드

CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection

https://github.com/TonyLianLong/RCF-UnsupVideoSeg

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Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping

https://github.com/TotalVariation/Exchanger4SITS

공식 코드

Revisiting the Encoding of Satellite Image Time Series

https://github.com/TrinitialChan/DifFSS

공식 코드

DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

https://github.com/TripleJoy/SAM2MOT

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SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation

https://github.com/TuSimple/TuSimple-DUC

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Understanding Convolution for Semantic Segmentation

https://github.com/TungChintao/APM

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Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation

https://github.com/TungDP/Kernel-CLustering-with-Sigmoid-based-Regularization

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Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data

https://github.com/Tverous/HRCenterNet

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HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents

https://github.com/UARK-AICV/3DConvCaps

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3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation

https://github.com/UARK-AICV/AerialFormer

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AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

https://github.com/UAws/CV-3315-Is-All-You-Need

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CV 3315 Is All You Need : Semantic Segmentation Competition

https://github.com/UBC-CIC/COVID19-L3-Net

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Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients

https://github.com/UCLBrain/Modelling_Segmentation_Annotators_Pytorch

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Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

https://github.com/UCSB-VRL/Purdue3DCell

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Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement

https://github.com/UM-ARM-Lab/multihypothesis_segmentation_tracking

공식 코드

Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation

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