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Found 2 papers, 1 papers with code
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
Given only one or a few images labeled with the novel classes and a much larger set of unlabeled images, we transfer the knowledge from labeled images to unlabeled images with a coarse-to-fine pseudo-labeling approach in two steps.
Class-Incremental Semantic Segmentation
Knowledge Distillation
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking
Deep convolutional neural networks have been widely used in scene classification of remotely sensed images.
