Papers with Code 아카이브

2D Semantic Segmentation

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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/halbielee/EPS

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

https://github.com/halbielee/SEC_pytorch

Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation

https://github.com/hamdaan19/NavGuide

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hamidriasat/BASNet

Boundary-Aware Segmentation Network for Mobile and Web Applications

https://github.com/hamidriasat/DDRNets

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

https://github.com/hamidriasat/UNet-3-Plus

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

https://github.com/happytianhao/tade

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

https://github.com/haratzouvara/image_restoration

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harish2704/pottan-ocr

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

https://github.com/harishhirthi/Indian-Traffic-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harrybolingot/mymaskrcnn

Mask R-CNN

https://github.com/harryhan618/SCNN_Pytorch

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

https://github.com/harryhan618/scnn

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

https://github.com/harsh-jadhav/SIIM-Pneumothorax-Case-Study2

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harveerar/smit

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

https://github.com/hav4ik/Hydra

Multi-Task Learning as Multi-Objective Optimization

https://github.com/hayashimasa/UNet-PyTorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/haysacks/spot-the-coin

Bilinear CNNs for Fine-grained Visual Recognition

https://github.com/heidongxianhau/deeplab2

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/hellochick/ICNet-tensorflow

Semantic Understanding of Scenes through the ADE20K Dataset

https://github.com/hellochick/PSPNet-tensorflow

Semantic Understanding of Scenes through the ADE20K Dataset

https://github.com/hellohaozheng/maskrcnn-mindspore

Mask R-CNN

https://github.com/hemanth346/mde_bs

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hendraet/synthesis-in-style

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

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

Fully Convolutional Networks for Semantic Segmentation

https://github.com/hhhhnwl/PointRend-simple-pytorch

PointRend: Image Segmentation as Rendering

https://github.com/hhj1897/roi_tanh_warping

RoI Tanh-polar Transformer Network for Face Parsing in the Wild

https://github.com/highwaywu/tianchi-fft2

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hila-chefer/robustvit

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

https://github.com/hkchengrex/Mask-Propagation

Video Object Segmentation using Space-Time Memory Networks

https://github.com/hkchengrex/Scribble-to-Mask

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

https://github.com/hmi88/what

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/hoaitrinh459/RobotNhatBongTennis

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hoidn/ptychopinn

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/holyseven/PSPNet-TF-Reproduce

Pyramid Scene Parsing Network

https://github.com/hosshonarvar/Image-Segmentation

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

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