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/sara-nl/SURF-deeplab

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/sara-nl/SURF-segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/sartaj0/TextRecognition-Pytorch

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

https://github.com/saswat0/CRVOS

CRVOS: Clue Refining Network for Video Object Segmentation

https://github.com/sathvikyesprabhu/brats-dl

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/saunack/MobileNetv2-SSD

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/sauravmishra1710/UNet-Plus-Plus---Brain-Tumor-Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/sbetageri/MaskRCNN

Mask R-CNN

https://github.com/sbillburg/CRNN-with-STN

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

https://github.com/scaelles/OSVOS-TensorFlow

One-Shot Video Object Segmentation

https://github.com/scannetpp/scannetpp

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

https://github.com/schopfej/pytorch_unet_jvanvugt

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/scikit-learn-contrib/mapie

Distribution-Free, Risk-Controlling Prediction Sets

https://github.com/scolocke/Traffic_Sign_ID_GTSRB_GTSDB

Mask R-CNN

https://github.com/sd2001/UNets

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/semiquark1/boruvka-superpixel

Superpixel Hierarchy

https://github.com/senlinuc/caffe_ocr

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

https://github.com/seoungwugoh/STM

Video Object Segmentation using Space-Time Memory Networks

https://github.com/seoungwugoh/ivs-demo

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

https://github.com/serdarch/SERNet-Former/blob/main/README.md

SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks

https://github.com/sergevkim/ReflectionSeparation

Single Image Reflection Removal Using Deep Encoder-Decoder Network

https://github.com/setharram/facenet

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/seungjunlee96/U-Net_Lung-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/seuqaj114/paig

Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video

https://github.com/sevakon/mobilenetv2

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/sfczekalski/attention_unet

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

https://github.com/sgenza/tf_crnn

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

https://github.com/shakex/Recurrent-Decoding-Cell

Segmenting Medical MRI via Recurrent Decoding Cell

https://github.com/shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

https://github.com/shanglianlm0525/CvPytorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/sharan21/disentangled-style-transfer-vae

Disentangled Representation Learning for Non-Parallel Text Style Transfer

https://github.com/sharifelguindi/DeepLab

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/shashankvkt/video_object_segmentation

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

https://github.com/shayanray/Vehicle-Speed-Prediction-from-dashboard-camera

Semantic Understanding of Scenes through the ADE20K Dataset

https://github.com/shekkizh/FCN.tensorflow

Fully Convolutional Networks for Semantic Segmentation

https://github.com/shelhamer/clockwork-fcn

Clockwork Convnets for Video Semantic Segmentation

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