[CVPR 2024] Neural Markov Random Field for Stereo Matching
-
Updated
Mar 20, 2025 - Python
[CVPR 2024] Neural Markov Random Field for Stereo Matching
Image denoising using Markov random fields.
Computer vision assignments that encompass both foundational and advanced principles.
A novel semi-supervised framework combining contrastive learning with hierarchical probabilistic graphical models for remote sensing with limited labeled data. Our approach enhances CRFNet by learning discriminative representations from unlabeled imagery while capturing multi-resolution spatial dependencies.
RENN
Add a description, image, and links to the markov-random-fields topic page so that developers can more easily learn about it.
To associate your repository with the markov-random-fields topic, visit your repo's landing page and select "manage topics."