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/gabriel-tjio/ash

공식 코드

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

https://github.com/gafaua/polytrack

공식 코드

PolyTrack: Tracking with Bounding Polygons

https://github.com/gama-ufsc/brain-extraction-for-tumor-segmentation

공식 코드

Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?

https://github.com/gangzhang842/cfnet

공식 코드

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation

https://github.com/ganlab/ostra

공식 코드

A One Stop 3D Target Reconstruction and multilevel Segmentation Method

https://github.com/gaomingqi/track-anything

공식 코드

Track Anything: Segment Anything Meets Videos

https://github.com/gaozhitong/SP_guided_Noisy_Label_Seg

공식 코드

Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation

https://github.com/gaozhitong/mose-auseg

공식 코드

Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts

https://github.com/gardnery/duedl

공식 코드

DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation

https://github.com/garlicman-man/rta-former

공식 코드

RTA-Former: Reverse Transformer Attention for Polyp Segmentation

https://github.com/gaudetcj/DeepQuaternionNetworks

공식 코드

Deep Quaternion Networks

https://github.com/gaussianer/fasterseg

공식 코드

Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability

https://github.com/gauthamnarayan/transparent-liquid-segmentation

공식 코드

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

https://github.com/gdamaskinos/unsupervised_topic_segmentation

공식 코드

Unsupervised Topic Segmentation of Meetings with BERT Embeddings

https://github.com/ge-xing/diff-unet

공식 코드

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

https://github.com/gengshan-y/rigidmask

공식 코드

Learning to Segment Rigid Motions from Two Frames

https://github.com/genie-kim/pinthememory

공식 코드

Pin the Memory: Learning to Generalize Semantic Segmentation

https://github.com/genintel/datasetnerf

공식 코드

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

https://github.com/geoaigroup/geoai-ecrs2023

공식 코드

Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation

https://github.com/georgebatch/kvasir-seg

공식 코드

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

https://github.com/georgeretsi/segfreekws

공식 코드

Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring

https://github.com/georgiakenyon/Segmentation-method-for-cerebral-blood-vessels-from-MRA-using-hysteresis

공식 코드

Segmentation method for cerebral blood vessels from MRA using hysteresis

https://github.com/geox-lab/false

공식 코드

False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

https://github.com/geox-lab/grass

공식 코드

GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation

https://github.com/geshang777/FOCUS

공식 코드

FOCUS: Towards Universal Foreground Segmentation

https://github.com/geshang777/Seg-R1

공식 코드

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

https://github.com/gewelsji/dgnet

공식 코드

Deep Gradient Learning for Efficient Camouflaged Object Detection

https://github.com/gewelsji/polyp-ood

공식 코드

Rethinking Polyp Segmentation from an Out-of-Distribution Perspective

https://github.com/gewelsji/vps

공식 코드

Video Polyp Segmentation: A Deep Learning Perspective

https://github.com/gewu-lab/sounding-object-segmentation-preference

공식 코드

Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

https://github.com/gfmei/GeoZe

공식 코드

Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding

https://github.com/ggsDing/ASLNet

공식 코드

Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images

https://github.com/ggsDing/DiResNet

공식 코드

DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images

https://github.com/ggsDing/SARSeg

공식 코드

MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images

https://github.com/ghtara/dose_prediction

공식 코드

A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy

https://github.com/giandbt/synboost

공식 코드

Pixel-wise Anomaly Detection in Complex Driving Scenes

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