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/NoamRosenberg/autodeeplab

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

https://github.com/Nogimon/FlyNet

Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks

https://github.com/OIdiotLin/DeepLab-pytorch

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

https://github.com/Okery/PyTorch-Simple-MaskRCNN

Mask R-CNN

https://github.com/OlgaFomin/Speech-enhancement

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/OneYearIsEnough/PaddleOCR-Recog-LmdbDataset-Conversion

Primitive Representation Learning for Scene Text Recognition

https://github.com/OpenNeuroDatasets/ds001499

BOLD5000: A public fMRI dataset of 5000 images

https://github.com/Oscared/thesis

Validating Hyperspectral Image Segmentation

https://github.com/Osdel/ssnets

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Owais-Ansari/Unet3plus

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/OzHsu23/chineseocr

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

https://github.com/PRBonn/bonnet

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

https://github.com/PRIS-CV/PGP-SAM

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation

https://github.com/PaddleCV-SIG/EISeg

EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow

https://github.com/PaddlePaddle/Paddle3D

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

https://github.com/PaddlePaddle/PaddleDetection

Microsoft COCO: Common Objects in Context

https://github.com/PaddlePaddle/PaddleScience

Neural networks for topology optimization

https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1/configs/deeplabv3

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/en/model_zoo/segmentation/cfbi.md

Collaborative Video Object Segmentation by Foreground-Background Integration

https://github.com/ParitoshParmar/HalluciNet--PyTorch

HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN

https://github.com/PatRyg99/HausdorffLoss

Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

https://github.com/PatriciaRodrigues1994/Satellite-Image-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/PaulEmmanuelSotir/DeepCV

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

https://github.com/Paultool/segnet

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

https://github.com/Pay20Y/FOTS_TF

FOTS: Fast Oriented Text Spotting with a Unified Network

https://github.com/Pay20Y/SAR_TF

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

https://github.com/PengchengShi1220/AortaSeg24

NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation

https://github.com/PhanTom2003/PSPnet

Pyramid Scene Parsing Network

https://github.com/PhilChina/CA-Net

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

https://github.com/Plrbear/biomedical-image-segmentation

Multi-Level Contextual Network for Biomedical Image Segmentation

https://github.com/PlumedSerpent/tmp_perspective_map

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Pointcept/Pointcept

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

https://github.com/PolinaDruzhinina/mobilenet

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/PolinaDruzhinina/modelnet

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/Popcorn-sugar/Deep_v2

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

https://github.com/PratirupG/Handwriting-Recognition

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

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