Dense Prediction
التنبؤ الكثيف
مهام تتطلب إنتاج تنبؤ لكل بكسل في الصورة (كالتجزئة الدلالية وتقدير العمق) بدلاً من تصنيف واحد للصورة كلها.
Tasks that require producing a prediction for every pixel in the image (such as semantic segmentation and depth estimation) rather than a single classification for the whole image.
Also translated asالتنبؤ على مستوى البكسل، التنبؤ الشامل
First appears in this corpus in: Fully Convolutional Networks for Semantic Segmentation (2015)
Appears in these papers
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2017in the sky ✦
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2017in the sky ✦
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data2024in the sky ✦
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data2024in the sky ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020in the sky ✦
- SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021in the sky ✦
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021in the sky ✦
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021in the sky ✦