Papers with Code 아카이브

Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/marvinyu1995/hyctas

공식 코드

Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search

https://github.com/marwankefah/SISSI

공식 코드

Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images

https://github.com/masih4/CryoNuSeg

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CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images

https://github.com/masih4/foot_ulcer_segmentation

공식 코드

Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks

https://github.com/masih4/nuinsseg

공식 코드

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images

https://github.com/masilab/3dux-net

공식 코드

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

https://github.com/masilab/deform-uxnet

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DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution

https://github.com/masilab/repux-net

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Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation

https://github.com/masilab/unest

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UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation

https://github.com/masqm/Faster-Mean-Shift

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Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking

https://github.com/masterhow/fishdreamer

공식 코드

FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation

https://github.com/matej-ulicny/harmonic-networks

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Harmonic Convolutional Networks based on Discrete Cosine Transform

https://github.com/matejgrcic/DenseHybrid

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DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

https://github.com/matejgrcic/Open-set-M2F

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On Advantages of Mask-level Recognition for Outlier-aware Segmentation

https://github.com/matejgrcic/Vistas-NP

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Dense open-set recognition with synthetic outliers generated by Real NVP

https://github.com/mateuszbuda/brain-segmentation

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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

https://github.com/matheus-viana/heterogeneous_sampling

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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts

https://github.com/matheusbarrosp/chessmix

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ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation

https://github.com/matheusbarrosp/sr-semseg-end2end

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An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation

https://github.com/mathilde-b/SFDA

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Source-Free Domain Adaptation for Image Segmentation

https://github.com/mathilde-b/SRDA

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Source-Relaxed Domain Adaptation for Image Segmentation

https://github.com/mathilde-b/tta

공식 코드

Test-Time Adaptation with Shape Moments for Image Segmentation

https://github.com/mathildefaanes/us_brain_tumor_segmentation

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Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations

https://github.com/mathlee/lasnet

공식 코드

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

https://github.com/mathpluscode/imgx-diffseg

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Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

https://github.com/mathwrx/BA-Net/blob/main/encoding/models/BANet.py

공식 코드

Boundary-aware Context Neural Network for Medical Image Segmentation

https://github.com/matjesg/deepflash2

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Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2

https://github.com/matrix-asc/dela

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Decoupled Local Aggregation for Point Cloud Learning

https://github.com/matrixgame2018/FEANet

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FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

https://github.com/matt-su/dr-adapter

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Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation

https://github.com/matt3o/autopet2-submission

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AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net

https://github.com/mattbierbaum/arxiv-public-datasets

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On the Use of ArXiv as a Dataset

https://github.com/matteo-bastico/mi-seg

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A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers

https://github.com/matthi99/deepgmm

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Deep Gaussian mixture model for unsupervised image segmentation

https://github.com/matthieuced/gscnn-apply-to-airborne-magnetic

공식 코드

Predictive Geological Mapping with Convolution Neural Network Using Statistical Data Augmentation on a 3D Model

https://github.com/mattpfr/lmanet

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Local Memory Attention for Fast Video Semantic Segmentation

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