An unsupervised collaborative training framework with MIM-guided diffusion translation and pseudo-label distillation reaches competitive or better cross-modal registration accuracy on five remote sensing datasets than several supervised baselines.
, author Ginger, Y
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation
An unsupervised collaborative training framework with MIM-guided diffusion translation and pseudo-label distillation reaches competitive or better cross-modal registration accuracy on five remote sensing datasets than several supervised baselines.