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/abhishekdbihani/MudrockNet

공식 코드

MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning

https://github.com/abj247/pv-s3

공식 코드

PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images

https://github.com/abner228/smilecode

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SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI

https://github.com/aboah1994/deepsegment

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DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos

https://github.com/abotond/sd-layernet

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SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

https://github.com/aboulch/ConvPoint

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ConvPoint: Continuous Convolutions for Point Cloud Processing

https://github.com/abourki/sota-semantically-aware-nerfs

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Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review

https://github.com/acaelles97/devis

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DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

https://github.com/acphile/MCCWS

공식 코드

A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder

https://github.com/ad12/DOSMA

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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

https://github.com/adalca/neuron

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Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

https://github.com/adambielski/move-seg

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MOVE: Unsupervised Movable Object Segmentation and Detection

https://github.com/adamgoldbraikh/ms-tcrnet

공식 코드

MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

https://github.com/adekhovich/continual_defect_segmentation

공식 코드

Continual learning for surface defect segmentation by subnetwork creation and selection

https://github.com/adgaudio/ietk-ret

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Enhancement of Retinal Fundus Images via Pixel Color Amplification

https://github.com/adigasu/anatomically-aware_uncertainty_for_semi-supervised_segmentation

공식 코드

Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

https://github.com/adlsn/logbnet

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Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation

https://github.com/adnan-cas/atrouslora

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VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA

https://github.com/adnanul-islam-jisun/vistext-mosquito

공식 코드

VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning

https://github.com/adobe-research/auto-wire-removal

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Automatic High Resolution Wire Segmentation and Removal

https://github.com/adynathos/attentropy

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AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains

https://github.com/aecelaya/gen-surf-loss

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A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation

https://github.com/aecelaya/mg-nets

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FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation

https://github.com/aeitel/self_deepmask

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Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction

https://github.com/aerorobotics/caltech-aerial-rgbt-dataset

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Caltech Aerial RGB-Thermal Dataset in the Wild

https://github.com/agaldran/kpis

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KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

https://github.com/agaldran/lesion_losses_ood

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On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness

https://github.com/agaldran/lwnet

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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

https://github.com/agis85/anatomy_modality_decomposition

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Disentangled Representation Learning in Cardiac Image Analysis

https://github.com/agis85/multimodal_segmentation

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Disentangle, align and fuse for multimodal and semi-supervised image segmentation

https://github.com/agosl/Orthogonal_Ensemble_Networks

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Orthogonal Ensemble Networks for Biomedical Image Segmentation

https://github.com/agroboticsresearch/sdm-d

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Learn from Foundation Model: Fruit Detection Model without Manual Annotation

https://github.com/aharley/segaware

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Segmentation-Aware Convolutional Networks Using Local Attention Masks

https://github.com/ahatamiz/dals

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Deep Active Lesion Segmentation

https://github.com/ahclab/wav2vecsegmenter

공식 코드

Improving Speech Translation Accuracy and Time Efficiency with Fine-tuned wav2vec 2.0-based Speech Segmentation

https://github.com/ahjolsenbics/evanyseg

공식 코드

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images

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