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/zhaoxing-zstar/R2UNet-paddle

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

https://github.com/zheangh/dfg

Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

https://github.com/zhengyang-wang/3D-Unet--Tensorflow

Non-local U-Net for Biomedical Image Segmentation

https://github.com/zhengyang-wang/Unet_3D

Dense Transformer Networks

https://github.com/zhenqifu/MASNet

https://github.com/zhiggins11/Semantic-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/zhihaozhang97/ru-ai

Microsoft COCO: Common Objects in Context

https://github.com/zhiqwang/crnn.pytorch

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

https://github.com/zhiqwang/image-captioning

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

https://github.com/zhixuhao/unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/zhong110020/py-faster-rcnn

Mask R-CNN

https://github.com/zhou-1/COVISS-Lab-Research

FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces

https://github.com/zhouxian/FluidLab

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

https://github.com/zhuang42/csc420

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/zhucheng725/MobileNetv1_Segnet_keras_tensorrt

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

https://github.com/zhugoldman/CNN-segmentation-for-Lung-cancer-OARs

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/zhuotongchen/self-healing-robust-neural-networks-via-closed-loop-control

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

https://github.com/zixuan-chen/M3VOS_Experiment

M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation

https://github.com/ziyangwang007/weak-mamba-unet

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation

https://github.com/zj603252818/FCN8s

Fully Convolutional Networks for Semantic Segmentation

https://github.com/zjZSTU/LightWeightCNN

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/zju-vipa/KamalEngine

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

https://github.com/zkyntu/UnLanedet

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

https://github.com/zkyseu/PPlanedet

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

https://github.com/zllrunning/deeplab-pytorch-crf

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

https://github.com/zlw9161/carrada-rac

Multi-View Radar Semantic Segmentation

https://github.com/zlw9161/pkc

Multi-View Radar Semantic Segmentation

https://github.com/zsef123/PointRend-PyTorch

PointRend: Image Segmentation as Rendering

https://github.com/ztoString/CRNN_CTC_OCR_TensorFlow

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

https://github.com/zuosc19/gaussianworld

EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding

https://github.com/zwenwang/CTPN_Pytorch

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

https://github.com/zwzheng98/qclnet

One-Shot Learning for Semantic Segmentation

https://github.com/zxleong/GPRNet

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/zyasjtu/CNN-RNN-CTC

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

https://github.com/zym1119/MobileNetV2_pytorch_cifar

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/zyning/signalSeparation

U-Net: Convolutional Networks for Biomedical Image Segmentation

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