Papers with Code 아카이브

Semantic Segmentation

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전체 기법전체 데이터셋

하위 태스크

29

평가표

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/itmo-mmrm-lab/cellpose

공식 코드

Cellpose+, a morphological analysis tool for feature extraction of stained cell images

https://github.com/itruonghai/segtransvae

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SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation

https://github.com/itschenyu/multitask-learning-bridge-inspection

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A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images

https://github.com/ituvisionlab/ODFNet

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ODFNet: Using orientation distribution functions to characterize 3D point clouds

https://github.com/iurada/neutron-segmentation

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Transient Fault Tolerant Semantic Segmentation for Autonomous Driving

https://github.com/ivMCL/AttentiveNorm_Detection

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Attentive Normalization

https://github.com/ivadomed/ivadomed

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ivadomed: A Medical Imaging Deep Learning Toolbox

https://github.com/ivadomed/model-spinal-rootlets

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Automatic Segmentation of the Spinal Cord Nerve Rootlets

https://github.com/ivezakis/effisegnet

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EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder

https://github.com/iviplab/letnet

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Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN

https://github.com/ivmcl/pacavit

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PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers

https://github.com/ivrl/ai4va

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Unlocking Comics: The AI4VA Dataset for Visual Understanding

https://github.com/ivs3d/ivs3d

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IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction

https://github.com/ivy-dl/memory

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End-to-End Egospheric Spatial Memory

https://github.com/iweisskohl/deep-evidential-fusion

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Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation

https://github.com/iweisskohl/evidence-fusion-with-contextual-discounting

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Evidence fusion with contextual discounting for multi-modality medical image segmentation

https://github.com/j-morano/multimodal-ssl-fpn

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Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

https://github.com/j-morano/rrwnet

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RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification

https://github.com/jackd/template_ffd

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Learning Free-Form Deformations for 3D Object Reconstruction

https://github.com/jackieam/gvi-best-path

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Analyzing Green View Index and Green View Index best path using Google Street View and deep learning

https://github.com/jackstelling/biasmitigation

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"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving

https://github.com/jackyjsy/scgan

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Spatially Constrained GAN for Face and Fashion Synthesis

https://github.com/jacobkoenig/WeaklySupervisedCrackSeg

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Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and Thresholding

https://github.com/jacobzhaoziyuan/ACT-Net

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ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation

https://github.com/jacobzhaoziyuan/DSAL

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DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

https://github.com/jacobzhaoziyuan/MMGL

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MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

https://github.com/jacobzhaoziyuan/MT-UDA

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MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

https://github.com/jacobzhaoziyuan/SAAL

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Self-supervised Assisted Active Learning for Skin Lesion Segmentation

https://github.com/jacobzhaoziyuan/le-uda

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LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

https://github.com/jadie1/pointcompletionssm

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Can point cloud networks learn statistical shape models of anatomies?

https://github.com/jaehakim97/sr4ir

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Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss

https://github.com/jahongir7174/vip2021

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Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation

https://github.com/james128333/HarDNet-MSEG

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HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

https://github.com/jamesdolezal/slideflow

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Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

https://github.com/jamesjg/foodsam

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FoodSAM: Any Food Segmentation

https://github.com/jamesliang819/instance_unique_querying

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Learning Equivariant Segmentation with Instance-Unique Querying

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