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/jjhuangcs/DExNet

A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal

https://github.com/jjhuangcs/DURRNet

DURRNet: Deep Unfolded Single Image Reflection Removal Network

https://github.com/jjprincess/PMTD

Pyramid Mask Text Detector

https://github.com/jkhadley/capstone-project

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jklife3/maskrcnn-impl

Mask R-CNN

https://github.com/jkvt2/Latent-Pose-Descriptors

Neural Head Reenactment with Latent Pose Descriptors

https://github.com/jlazarow/learning_instance_occlusion

Panoptic Segmentation

https://github.com/jmjeon94/MobileNet-Pytorch

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/jmysu/ESP32CAM-FaceDetect-Line-Notify

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/joakimjohnander/agame-vos

A Generative Appearance Model for End-to-end Video Object Segmentation

https://github.com/jodumagpi/Xray-ObjSep-v1

Mask R-CNN

https://github.com/joeylitalien/noise2noise-pytorch

Microsoft COCO: Common Objects in Context

https://github.com/johnnylu305/Simple-does-it-weakly-supervised-instance-and-semantic-segmentation

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

https://github.com/johnnylu305/deeplab-imagenet-pytorch

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

https://github.com/johnson-shuffle/tdi-proposal

Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks

https://github.com/johnsun03/myTest

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

https://github.com/johschmidt42/pytorch-2d-3d-unet-tutorial

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jonryf/deep-learning-image-colorization-using-gan

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jooyounghun/AI-Team-5

Mask R-CNN

https://github.com/josedolz/HyperDenseNet_pytorch

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

https://github.com/josephch405/jit-masker

Online Model Distillation for Efficient Video Inference

https://github.com/joshuaczhao/CNN-Sentence-Classifier-Reproduction

CNN Features off-the-shelf: an Astounding Baseline for Recognition

https://github.com/jovenwayfarer/pneumonia

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jpark621/language-style-transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/jponttuset/mcg

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

https://github.com/jqueguiner/camembert-as-a-service

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jqueguiner/image-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jremillard/images-to-osm

Mask R-CNN

https://github.com/jtiger958/pytorch-computer-vision-basic

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jtiger958/pytorch-computer-vision-tutorial

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/juanluisrosaramos/CRNN_OCR

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

https://github.com/julia-bush/unet_TGS

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/junbongjang/contour-tracking

Polygonal Point Set Tracking

https://github.com/junstar92/hangul-syllable-recognition

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

https://github.com/junweizheng93/materobot

A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing

https://github.com/justld/CCNet_paddle

CCNet: Criss-Cross Attention for Semantic Segmentation

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