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/Domirae/H2O-SDF

H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields

https://github.com/DrBoltzmann/CarND-Semantic-Segmentation

Fully Convolutional Networks for Semantic Segmentation

https://github.com/DrSleep/light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

https://github.com/Dragoniss/mindspore-phase2-Deep-Fourier-Upsampling/blob/main/Fourier-Upsampling.py

Deep Fourier Up-Sampling

https://github.com/DreadPiratePsyopus/Pytorch-yolo-phoc

Single Shot Scene Text Retrieval

https://github.com/EEEGUI/PSPNet

Semantic Understanding of Scenes through the ADE20K Dataset

https://github.com/EMalagoli92/OD-Metrics

Microsoft COCO: Common Objects in Context

https://github.com/EPFL-VILAB/3DCommonCorruptions

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/EPFL-VILAB/XDEnsembles

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ESA-PhiLab/PhilEO-MajorTOM

Unified Perceptual Parsing for Scene Understanding

https://github.com/ETS-Research-Repositories/deep-clustering-toolbox

Deep Co-Training for Semi-Supervised Image Segmentation

https://github.com/EdwardTyantov/ultrasound-nerve-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/EdwinAlegria/object_semantic_deeplabv3

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/Eladamar/fast_scnn

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/Elhoseiny-VisionCAIR-Lab/LTVRR

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary

https://github.com/Elman295/Crowd_Counting_Density_Estimation

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

https://github.com/EmGarr/kerod

Mask R-CNN

https://github.com/EmoryMLIP/DynamicBlocks

Deep Neural Networks Motivated by Partial Differential Equations

https://github.com/Eom-taeseon/CV_SceneTextRecognition

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

https://github.com/EquipoVandV/mmactionVandV

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

https://github.com/ErenO/segmentation-dataset

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

https://github.com/ErfanMN/Augmented_CycleGAN_Pytorch

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

https://github.com/EricKani/Segmenter-Based-on-OpenMMLab

Segmenter: Transformer for Semantic Segmentation

https://github.com/EricWiener/point-cloud-de-noising

CNN-based Lidar Point Cloud De-Noising in Adverse Weather

https://github.com/Ericzhang1/BAGAU-Net

Attention U-Net: Learning Where to Look for the Pancreas

https://github.com/ErikGDev/instance-segmentation

Mask R-CNN

https://github.com/EvaBr/AnatomyNets

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/EvgenyDyshlyuk/Oil_Seep_Detection

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DINO

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-Segmenter

Segmenter: Transformer for Semantic Segmentation

https://github.com/FLming/CRNN.tf2

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/FaceOnLive/ID-Card-Passport-Recognition-SDK-Android

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/FangGet/tf-monodepth2

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/Fangrn/caffe-segnet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/FarihaHossain/SwinFSR

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

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