Papers with Code 아카이브
RGB Salient Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 13
- 보존된 평가 기록
- 159
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/ryanxingql/powerqe
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/s9mondal9upriti/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sabadijou/clld_official
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sadari1/TumorDetectionDeepLearning
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sagnik1511/U-Net-Reduced-with-TF-keras
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sagnik1511/U-Net-Reduced-with-keras
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sakasakasa/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/salem-devloper/COVID-Lung-Segment
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/salem-devloper/final
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/salem-devloper/lung-chaker
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/salimkhazem/U-net-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/samplecm/Organogenesis
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/samson6460/tf2_Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/samson6460/tf2_pose_estimation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sandeepsinghsengar/Pytoarch-UNet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sandeepsinghsengar/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sathvikyesprabhu/brats-dl
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/schenock/u2net-generic
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/schopfej/pytorch_unet_jvanvugt
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sd2001/UNets
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sdll/hrnet-pose-estimation
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/seungjunlee96/U-Net_Lung-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shanglianlm0525/CvPytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sharifelguindi/DeepLab
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/shenshutao/image_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shermanhung/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shibuiwilliam/Keras_Autoencoder
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shih61/deep-learnging-3d-object-dectation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shijianjian/HRNet_Keras
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/shikras/d-cube
Advancing Referring Expression Segmentation Beyond Single Image
https://github.com/shimoda-uec/ssdd
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
https://github.com/shineho2014/Unet-Pavement_Crack-Detection
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shirans/cv_course_project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shivamkhare95/Unet_graph
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/showlo/mobilenetv3
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.