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/bupt-ai-cz/CAC-UNet-DigestPath2019

공식 코드

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet

https://github.com/bupt-ai-cz/Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation

공식 코드

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image

https://github.com/bupt-ai-cz/wuda

공식 코드

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels

https://github.com/burakekim/MTL_homoscedastic_SRB

공식 코드

A Multi-Task Deep Learning Framework for Building Footprint Segmentation

https://github.com/bwgzk/cyclemix

공식 코드

CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

https://github.com/bwgzk/shapepu

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ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

https://github.com/bwittmann/vesselFM

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vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation

https://github.com/bx0903/pdc

공식 코드

Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation

https://github.com/bxiang233/forainet

공식 코드

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

https://github.com/bxiang233/panopticsegforlargescalepointcloud

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Towards accurate instance segmentation in large-scale LiDAR point clouds

https://github.com/bxiang233/panopticsegformobilemappingpointclouds

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A Review of Panoptic Segmentation for Mobile Mapping Point Clouds

https://github.com/byeongkeun-kang/HOI-dataset

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Hand Segmentation for Hand-Object Interaction from Depth map

https://github.com/bytedance/dq-det

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Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

https://github.com/bytedance/fc-clip

공식 코드

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

https://github.com/c-feng/DirectionalFeature

공식 코드

Learning Directional Feature Maps for Cardiac MRI Segmentation

https://github.com/c-hepburn/Bone_MRI

공식 코드

Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritis

https://github.com/c-wenhui/bars

공식 코드

BARS: A Benchmark for Airport Runway Segmentation

https://github.com/c8241998/dam-reservoir-extraction

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Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies

https://github.com/caganselim/tltm

공식 코드

Two-Level Temporal Relation Model for Online Video Instance Segmentation

https://github.com/cai4cai/ace-dliris

공식 코드

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

https://github.com/caipengzhou/brau-netplusplus

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BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

https://github.com/cambridgeltl/sw_study

공식 코드

A Systematic Study of Leveraging Subword Information for Learning Word Representations

https://github.com/camma-public/endoscapes

공식 코드

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

https://github.com/camma-public/ultrasam

공식 코드

UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets

https://github.com/candlelabai/tpfnet

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TPFNet: A Novel Text In-painting Transformer for Text Removal

https://github.com/cao-cong/ads-semiseg

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Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation

https://github.com/caodinhduc/x-pdnet-official

공식 코드

X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction

https://github.com/caopulan/Mask2Former-LT

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Frequency-based Matcher for Long-tailed Semantic Segmentation

https://github.com/caoql98/frinet

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Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation

https://github.com/caoyunkang/segment-any-anomaly

공식 코드

Segment Any Anomaly without Training via Hybrid Prompt Regularization

https://github.com/captain-hong/sfuda_aos

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Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

https://github.com/cardio-ai/funavg

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FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

https://github.com/carlren/gSLICr

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gSLICr: SLIC superpixels at over 250Hz

https://github.com/carolmazini/reasoning_with_trees

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Reasoning with trees: interpreting CNNs using hierarchies

https://github.com/carrenD/ummkd

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Unpaired Multi-modal Segmentation via Knowledge Distillation

https://github.com/carrierlxk/AGNN

공식 코드

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

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