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/alejandrodebus/SegNet

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

https://github.com/aleksispi/airloc

xBD: A Dataset for Assessing Building Damage from Satellite Imagery

https://github.com/alessiomora/unlearning_fl

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

https://github.com/alexalm4190/Mask_RCNN-Vizzy_Hand

Mask R-CNN

https://github.com/alexander-pv/maskrcnn_tf2

Mask R-CNN

https://github.com/alexanderhberger/multiclass-bettimatching

Topology-Preserving Deep Image Segmentation

https://github.com/alexandrelewin/FollowMe

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

https://github.com/alexbmp/run-vnet-keras

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

https://github.com/alexeybokhovkin/part-based-scan-understanding

Towards Part-Based Understanding of RGB-D Scans

https://github.com/alexgkendall/SegNet-Tutorial

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

https://github.com/alexgkendall/caffe-segnet

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

https://github.com/alexionby/Endoscopy.ai

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

https://github.com/alexklibisz/deep-calcium

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/alexromano/nerve-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/alexshuang/TGS_Salt

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

https://github.com/alexssanchez/unet-app-pucp

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/alibaba/EasyCV

Masked-attention Mask Transformer for Universal Image Segmentation

https://github.com/alibaba/cluster-contrast

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/alibaba/cluster-contrast-reid

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/alililia/VNet_Ascend

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

https://github.com/alililia/ascend_maskrcnn_mobilenetv1

Mask R-CNN

https://github.com/alililia/gpu_maskrcnn_mobilenetv1

Mask R-CNN

https://github.com/alililia/vnet_GPU

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

https://github.com/allenai/robothor-challenge

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

https://github.com/alpemek/aerial-segmentation

Learning Aerial Image Segmentation from Online Maps

https://github.com/alvchn/fcn

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

https://github.com/amazon-science/semimtr-text-recognition

Multimodal Semi-Supervised Learning for Text Recognition

https://github.com/amirfaraji/LowDoseCTPytorch

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

https://github.com/amitgupta223/Real-Time-Face-Mask-Detection-using-OpenCV-on-MacOS

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/amri369/Pytorch-Iternet

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

https://github.com/anandjebakumar/unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/anandkr123/DynamicContentErasure

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

https://github.com/andrewowens/multisensory

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/anh-nn01/Satellite-Imagery-to-Map-Translation-using-Pix2Pix-GAN-framework

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/anhnguyen9a7/pyramid-mask-and-plane-clustering-visualization

Pyramid Mask Text Detector

https://github.com/animikhaich/single-object-background-subtractor

U-Net: Convolutional Networks for Biomedical Image Segmentation

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