Papers with Code 아카이브

Semantic Segmentation

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전체 기법전체 데이터셋

하위 태스크

29

평가표

150

보존된 평가 기록

1,918

코드

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

https://github.com/IntelVCL/MultiObjectiveOptimization

공식 코드

Multi-Task Learning as Multi-Objective Optimization

https://github.com/IonutMotoi/CutPasteSatSeg

공식 코드

Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery

https://github.com/Isnot2bad/Micro-Net

공식 코드

A Miniaturized Semantic Segmentation Method for Remote Sensing Image

https://github.com/IsolationKernel/Codes

공식 코드

Point-Set Kernel Clustering

https://github.com/IssamLaradji/CBStyling

공식 코드

Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

https://github.com/IvLabs/stagewise-knowledge-distillation

공식 코드

Data Efficient Stagewise Knowledge Distillation

https://github.com/Ivan1248/semisup-seg-efficient

공식 코드

Revisiting consistency for semi-supervised semantic segmentation

https://github.com/JDAI-CV/FADA

공식 코드

Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

https://github.com/JDAI-CV/LIO

공식 코드

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

https://github.com/JJGO/UniverSeg

공식 코드

UniverSeg: Universal Medical Image Segmentation

https://github.com/Jacobew/AutoPanoptic

공식 코드

Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation

https://github.com/Jacobi93/Reward-penalty-Dice-loss

공식 코드

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss

https://github.com/Jarvis73/FPTransPaddle

공식 코드

Feature-Proxy Transformer for Few-Shot Segmentation

https://github.com/JavierUrenaPhDProjects/artificial_fluorescent_dataset

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Vision Transformers for Weakly-Supervised Microorganism Enumeration

https://github.com/JavierUrenaPhDProjects/vits_for_WSC

공식 코드

Vision Transformers for Weakly-Supervised Microorganism Enumeration

https://github.com/Javion11/PointLiBR

공식 코드

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

https://github.com/JayParanjape/blackfed

공식 코드

Federated Black-Box Adaptation for Semantic Segmentation

https://github.com/Jazzcharles/OVSegmentor

공식 코드

Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision

https://github.com/JeroenBertels/optimizingdice

공식 코드

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice

https://github.com/Jerry00917/samshap

공식 코드

Explain Any Concept: Segment Anything Meets Concept-Based Explanation

https://github.com/JiYuanFeng/MCTrans

공식 코드

Multi-Compound Transformer for Accurate Biomedical Image Segmentation

https://github.com/Jia-Research-Lab/PFENet

공식 코드

Prior Guided Feature Enrichment Network for Few-Shot Segmentation

https://github.com/Jia-Research-Lab/PanopticFCN

공식 코드

Fully Convolutional Networks for Panoptic Segmentation

https://github.com/Jia-Research-Lab/ReviewKD

공식 코드

Distilling Knowledge via Knowledge Review

https://github.com/Jia-Research-Lab/SA-AutoAug

공식 코드

Scale-aware Automatic Augmentation for Object Detection

https://github.com/JiahuiYu/slimmable_networks

공식 코드

Slimmable Neural Networks

https://github.com/JialeCao001/SipMask

공식 코드

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation

https://github.com/JialianW/Forest_RCNN

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Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

https://github.com/JialianW/TraDeS

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Track to Detect and Segment: An Online Multi-Object Tracker

https://github.com/Jianbo-Lab/LBIE

공식 코드

Language-Based Image Editing with Recurrent Attentive Models

https://github.com/JianghaoWu/FPL-UDA

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CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

https://github.com/JianqiangWan/Super-BPD

공식 코드

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation

https://github.com/Jiaolong/self-supervised-da

공식 코드

Self-supervised Domain Adaptation for Computer Vision Tasks

https://github.com/Jiawei-Yang/Denoising-ViT

공식 코드

Denoising Vision Transformers

https://github.com/JiaxiHe/Image-and-Video-Dehazing

공식 코드

Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization

https://github.com/JieZheng-ShanghaiTech/CellVTA

공식 코드

CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification

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