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/SMKamrulHasan/Learned-Condensation-Optimizaton-Network

공식 코드

L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI

https://github.com/SMKamrulHasan/UNetPlus

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U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument

https://github.com/SRDAMICCAI/SRDA

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Source-Relaxed Domain Adaptation for Image Segmentation

https://github.com/SSAW14/LearnableDilationNetwork

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Learning Dilation Factors for Semantic Segmentation of Street Scenes

https://github.com/SSAW14/STD2P

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STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

https://github.com/SSAW14/segmentation_membership_inference

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Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

https://github.com/STORMTROOPERRR/RSISCD

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A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection

https://github.com/SURA23/Sinus-Surgery-Endoscopic-Image-Datasets

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LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images

https://github.com/SUST-reynole/AMR

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Adaptive Morphological Reconstruction for Seeded Image Segmentation

https://github.com/SZUHvern/D-UNet

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D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation

https://github.com/SakanaAI/CycleQD

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Agent Skill Acquisition for Large Language Models via CycleQD

https://github.com/SalesforceAIResearch/bootpig

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BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

https://github.com/Salingo/RPM-Net

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RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

https://github.com/SanjidaAfrin25/flood-detection-using-deepLab-unet-resnet

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AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring

https://github.com/SarielMa/Increasing-Margin-Adversarial-Training

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Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks

https://github.com/Saumya-Gupta-26/struct-uncertainty

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Topology-Aware Uncertainty for Image Segmentation

https://github.com/Scalsol/RepPointsV2

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RepPoints V2: Verification Meets Regression for Object Detection

https://github.com/Scientific-Computing-Lab-NRCN/MLography

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An End-to-End Computer Vision Methodology for Quantitative Metallography

https://github.com/Sekunde/3D-SIS

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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

https://github.com/Semanticity-Research/ARCH2S

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ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds

https://github.com/Semanticity-Research/SRBIM

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Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment

https://github.com/SeokjuLee/Insta-DM

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Instance-wise Depth and Motion Learning from Monocular Videos

https://github.com/Seung-Hun-Lee/ADAS

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ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation

https://github.com/Seung-Hun-Lee/CAVIS

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Context-Aware Video Instance Segmentation

https://github.com/SeyedMuhammadHosseinMousavi/Victoria-Amazonica-Optimization-VAO-Algorithm

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Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily Plant

https://github.com/ShangHua-Gao/RFNext

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RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

https://github.com/Shanks0465/Localized_SuperResolution_Foreground

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Localized Super Resolution for Foreground Images using U-Net and MR-CNN

https://github.com/Shaosifan/FIANet

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Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation

https://github.com/Sharath-girish/LTH-ObjectRecognition

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The Lottery Ticket Hypothesis for Object Recognition

https://github.com/SharifAmit/DilatedFCNSegmentation

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Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation

https://github.com/Shathe/3D-MiniNet

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3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

https://github.com/Shathe/SemiSeg-Contrastive

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Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank

https://github.com/ShawkhIbneRashid/medical-images-sr

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Single MR Image Super-Resolution using Generative Adversarial Network

https://github.com/ShenYifanS/S-RA_T-RA

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Practical Region-level Attack against Segment Anything Models

https://github.com/ShenZheng2000/SAPNet-for-image-deraining

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SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining

https://github.com/ShenZheng2000/Semantic-Guided-Low-Light-Image-Enhancement

공식 코드

Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement

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