Papers with Code 아카이브

2D Semantic Segmentation

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하위 태스크

17

평가표

11

보존된 평가 기록

42

코드

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

https://github.com/QingyongHu/SensatUrban

공식 코드

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

https://github.com/Qualcomm-AI-research/delta-distillation

공식 코드

Delta Distillation for Efficient Video Processing

https://github.com/RanSuLab/RAUNet-tumor-segmentation

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RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

https://github.com/Rayicer/TransFuse

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TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

https://github.com/RazvanDu/DUCK-Net

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Using DUCK-Net for Polyp Image Segmentation

https://github.com/Retinal-Research/EVIT-UNET

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EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices

https://github.com/ReubenDo/InExtremIS

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Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

https://github.com/RisabBiswas/Polyp-SAM-PlusPlus

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Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

https://github.com/Roaxy/MAFN

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Multimodal-Aware Fusion Network for Referring Remote Sensing Image Segmentation

https://github.com/RobertLuo1/NeurIPS2023_SOC

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SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation

https://github.com/RobinBruegger/PartiallyReversibleUnet

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A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation

https://github.com/RobinBruegger/RevTorch

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A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation

https://github.com/RoyalVane/MMAN

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Macro-Micro Adversarial Network for Human Parsing

https://github.com/Rudy423/SegEvaluation

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Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation

https://github.com/RuijieJ/pren

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Primitive Representation Learning for Scene Text Recognition

https://github.com/RussRobin/VDD

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VDD: Varied Drone Dataset for Semantic Segmentation

https://github.com/SEU-VIPGroup/Understanding_Vision_Tasks

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Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization

https://github.com/SHI-Labs/Mask-Selection-Networks

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MSN: Efficient Online Mask Selection Network for Video Instance Segmentation

https://github.com/SHI-Labs/OneFormer

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OneFormer: One Transformer to Rule Universal Image Segmentation

https://github.com/SHI-Labs/Rethinking-Text-Segmentation

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Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach

https://github.com/SLDGroup/G-CASCADE

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G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

https://github.com/SLDGroup/MERIT

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Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation

https://github.com/SMKamrulHasan/Learned-Condensation-Optimizaton-Network

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

https://github.com/SRDAMICCAI/SRDA

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Source-Relaxed Domain Adaptation for Image Segmentation

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/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/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/Scarecrow0/BGNN-SGG

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Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

https://github.com/Scatteredrain/SALI

공식 코드

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

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