Papers with Code 아카이브

2D Semantic Segmentation

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전체 기법전체 데이터셋

하위 태스크

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평가표

11

보존된 평가 기록

42

코드

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

https://github.com/CVRL/RaspberryPiOpenSourceIris

Open Source Presentation Attack Detection Baseline for Iris Recognition

https://github.com/CVRL/iris-recognition-OTS-DNN

Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

https://github.com/Caiyuan-Zheng/Consistency_Regularization_STR

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

https://github.com/CallHoganZhang/unet-medical_segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Canjie-Luo/Text-Image-Augmentation

Decoupled Attention Network for Text Recognition

https://github.com/CaptainEven/MonoDepthV2

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/CarryHJR/Nested-UNet

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

https://github.com/CarstenIsert/DeepBurn

Mask R-CNN

https://github.com/Cassieyy/CLCINet_-MICCAI2019-

CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

https://github.com/Cassieyy/MultiResUnet3D

MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation

https://github.com/Ceachi/Project-Self-Driving-Car-Advanced-Lane-Lines

Fully Convolutional Networks for Semantic Segmentation

https://github.com/CellSMB/EM-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/seg_net.py

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

https://github.com/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/u_net.py

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ChenMicky/FCN

Fully Convolutional Networks for Semantic Segmentation

https://github.com/ChenWu98/Point-Then-Operate

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

https://github.com/ChengBinJin/U-Net-TensorFlow

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ChenyangLEI/deep-video-prior

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

https://github.com/ChristophReich1996/TYC-Dataset

Panoptic Segmentation

https://github.com/Cjl-MedSeg/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/CocoSungMin/Gachon_SW_Colorization_Contest

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/CodeAchieveDream/crnn_model

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

https://github.com/CoinCheung/pytorch-loss

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

https://github.com/ColdNoodler/py-faster-rcnn-cuda10

Mask R-CNN

https://github.com/CommissarMa/CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/ContinualAI/avalanche

Learning without Forgetting

https://github.com/Crespo-dong/caffe_ocr

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

https://github.com/CristianLazoQuispe/skin-lesion-segmentation-using-pix2pix

Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

https://github.com/CtrlZ1/transferLearningAlgorithms/tree/main/pytorch-JCPOT

Optimal Transport for Multi-source Domain Adaptation under Target Shift

https://github.com/CuberrChen/PointRend-Paddle

PointRend: Image Segmentation as Rendering

https://github.com/CuberrChen/STDCNet-Paddle

Rethinking BiSeNet For Real-time Semantic Segmentation

https://github.com/CyxFTS/Scenne-illumination-estimation-from-single-image

Deep Outdoor Illumination Estimation

https://github.com/DASHANANT/Video-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/DCSong/CRNN-DenseNet

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

https://github.com/DILiS-lab/drivers-of-predictive-aleatoric-uncertainty

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

https://github.com/DIUx-xView/xView2_first_place

U-Net: Convolutional Networks for Biomedical Image Segmentation

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