RGB Salient Object Detection
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RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.
<span style="color:grey; opacity: 0.6">( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gox-ai/hrnet-pose-api
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/goyalyash1224/Nuclei-detection-and-segmentaion
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/greatsharma/DeepLearning-Papers-Implementation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/gregbugaj/unet-reference-impl
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/guglielmocamporese/hands-segmentation-pytorch
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/gundeep15/SCD_AI_Project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/gvtulder/elasticdeform
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hahahappyboy/GANForCartoon
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/hamdaan19/NavGuide
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hamidriasat/BASNet
https://github.com/haratzouvara/image_restoration
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/harishhirthi/Indian-Traffic-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/harsh-jadhav/SIIM-Pneumothorax-Case-Study2
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hayashimasa/UNet-PyTorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/heidongxianhau/deeplab2
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/hellochick/ICNet-tensorflow
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/hemanth346/mde_bs
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hhaAndroid/u2net
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/highwaywu/tianchi-fft2
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hm7455/Anti-collision_Semantic-segmentation_
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/hoaitrinh459/RobotNhatBongTennis
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/holyseven/PSPNet-TF-Reproduce
https://github.com/houqb/DSS
Deeply supervised salient object detection with short connections
https://github.com/hualuluu/--every-day-paper--
A Simple Pooling-Based Design for Real-Time Salient Object Detection
https://github.com/huchuanlu/15_7
Inner and Inter Label Propagation: Salient Object Detection in the Wild
https://github.com/hycis/TensorGraph
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hydrogo/rainnet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/hyunjoonbok/Unet-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/iarai/landslide4sense-2022
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/iarai/weather4cast
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/idealo/imagededup
https://github.com/iibrahimli/unet_sem_seg
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/imagesegmentation2020/indoor
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/imagine5am/ARU-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/inder9999/ISIC2017_skin_lesion_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.