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Found 3 papers, 2 papers with code
One-stage Modality Distillation for Incomplete Multimodal Learning
Specifically, we propose the joint adaptation network for the modality transfer task to preserve the privileged information.
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning
It consists of three components: the deployment network used for inference, the teacher network transferring comprehensive multimodal information to the deployment network, and the regularization network guiding the deployment network to balance weak modality combinations.
Ranked #60 on
Semantic Segmentation
on NYU Depth v2
Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity
In this paper we propose a novel multidirectional fusion and perception network for change detection in bi-temporal very-high-resolution remote sensing images.
Change Detection
Change detection for remote sensing images
+1
