Papers with Code 아카이브

2D Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

17

평가표

11

보존된 평가 기록

42

코드

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

https://github.com/m3dv/diffatlas

공식 코드

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

https://github.com/m3dv/lefusion

공식 코드

LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

https://github.com/machelreid/editpro

공식 코드

Learning to Model Editing Processes

https://github.com/machelreid/lewis

공식 코드

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer

https://github.com/maelic/sgg-benchmark

공식 코드

REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation

https://github.com/maelic/vg_curated

공식 코드

Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation

https://github.com/maggiebasta/lung-cancer-thesis

공식 코드

Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks

https://github.com/magic-research/Sa2VA

공식 코드

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

https://github.com/magnus-haw/arcjetcv

공식 코드

arcjetCV: an open-source software to analyze material ablation

https://github.com/maguirre1/deepLAI

공식 코드

A deep learning classifier for local ancestry inference

https://github.com/mahmoudnafifi/WB_color_augmenter

공식 코드

What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

https://github.com/majid9418/eresu-net

공식 코드

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning

https://github.com/majy-yuji/st-usleepnet

공식 코드

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging

https://github.com/mala-lab/sic-cads

공식 코드

Simple Image-level Classification Improves Open-vocabulary Object Detection

https://github.com/maloadba/mgenseg_2d

공식 코드

M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

https://github.com/mamrehn/interactive_image_segmentation_evaluation

공식 코드

A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems

https://github.com/manga-uofa/prompt-edit

공식 코드

Prompt-Based Editing for Text Style Transfer

https://github.com/manga109/public-annotations

공식 코드

Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker Detection

https://github.com/manuelknott/banana-defect-segmentation

공식 코드

Weakly supervised image segmentation for defect-based grading of fresh produce

https://github.com/manugar/imagestyletransfer

공식 코드

Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation

https://github.com/maoyunyao/joint

공식 코드

Joint Inductive and Transductive Learning for Video Object Segmentation

https://github.com/mapleandfire/li-convs

공식 코드

Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation

https://github.com/marc1198/chat-hsr

공식 코드

LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

https://github.com/marcdcfischer/punet

공식 코드

Prompt Tuning for Parameter-efficient Medical Image Segmentation

https://github.com/marcelampc/d3net_depth_estimation

공식 코드

Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?

https://github.com/marcelsheeny/radiate_sdk

공식 코드

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

https://github.com/marcus-nordstrom/optimal-solutions-to-accuracy-and-dice

공식 코드

On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice

https://github.com/marcusjenkins01/yolov7-temporal

공식 코드

Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring

https://github.com/mariannerakic/tyche

공식 코드

Tyche: Stochastic In-Context Learning for Medical Image Segmentation

https://github.com/marinbenc/medical-polar-training

공식 코드

Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

https://github.com/mark12ding/sam2long

공식 코드

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

https://github.com/marksgraham/transformer-ood

공식 코드

Transformer-based out-of-distribution detection for clinically safe segmentation

https://github.com/markusschoen/mgnet

공식 코드

MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

https://github.com/markusschoen/rt-k-net

공식 코드

RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation

https://github.com/markytools/strexp

공식 코드

Scene Text Recognition Models Explainability Using Local Features

https://github.com/martianxiu/als_pretraining

공식 코드

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment

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