Papers with Code 아카이브

Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

5

보존된 평가 기록

6

코드

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

https://github.com/gterren/cloud_segmentation

공식 코드

Segmentation Algorithms for Ground-Based Infrared Cloud Images

https://github.com/guanfangdong/lts-univerisalmos

공식 코드

Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation

https://github.com/guangtaolyu/psstrnet

공식 코드

PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network

https://github.com/guanlinlee/noisy-lvis

공식 코드

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels

https://github.com/guanrunwei/asy-vrnet

공식 코드

ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

https://github.com/gucorpling/GumDrop

공식 코드

GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection

https://github.com/gucorpling/discodisco

공식 코드

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

https://github.com/gudovskiy/flowenedet

공식 코드

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow

https://github.com/guigzos/crossmodalgba

공식 코드

Cross-modal tumor segmentation using generative blending augmentation and self training

https://github.com/gungui98/echo-free

공식 코드

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

https://github.com/guobaoxiao/dsam

공식 코드

Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection

https://github.com/guoleisun/vss-cffm

공식 코드

Learning Local and Global Temporal Contexts for Video Semantic Segmentation

https://github.com/guomugong/BTS-DSN

공식 코드

BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation

https://github.com/guomugong/DPN

공식 코드

DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels

https://github.com/guybenyosef/echographs

공식 코드

Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

https://github.com/gvalvano/multiscale-adversarial-attention-gates

공식 코드

Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

https://github.com/gvcl/iwseg-sar-poison

공식 코드

Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images

https://github.com/gxym/textpms

공식 코드

Arbitrary Shape Text Detection via Segmentation with Probability Maps

https://github.com/gyglim/dvn

공식 코드

Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs

https://github.com/gykovacs/retina_vessel_segmentation

공식 코드

A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers

https://github.com/gyyang23/rdrnet

공식 코드

Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation

https://github.com/gzq17/weakly-supervised-by-mip

공식 코드

3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection

https://github.com/hahahawu/vcsum

공식 코드

VCSUM: A Versatile Chinese Meeting Summarization Dataset

https://github.com/hahamyt/mst

공식 코드

MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation

https://github.com/hahamyt/scc

공식 코드

Structured Click Control in Transformer-based Interactive Segmentation

https://github.com/haibo-qiu/gfnet

공식 코드

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

https://github.com/hakal104/autopetiii

공식 코드

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT

https://github.com/halleewong/ScribblePrompt

공식 코드

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

https://github.com/hamghalam/MGP-VAE

공식 코드

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

https://github.com/hananshafi/medcontext

공식 코드

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

https://github.com/hanchaoleng/shapeconv

공식 코드

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

https://github.com/hancyran/RPNet

공식 코드

Learning Inner-Group Relations on Point Clouds

https://github.com/hancyran/SepNet

공식 코드

Deeper or Wider Networks of Point Clouds with Self-attention?

https://github.com/hankcs/sub-character-cws

공식 코드

Dual Long Short-Term Memory Networks for Sub-Character Representation Learning

https://github.com/hanmengya1996/pftgan

공식 코드

Leveraging GAN Priors for Few-Shot Part Segmentation

https://github.com/hanxumartin/color-invariant-skin-segmentation

공식 코드

Color Invariant Skin Segmentation

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