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Found 5 papers, 1 papers with code
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation
However, when DGT is evaluated using in-domain multi-sources, the results show superior performance compared to state-of-the-art video object segmentation and other lifelong learning techniques with an average performance increase in the F-score of 6. 9% with minimal catastrophic forgetting.
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
The selected techniques are trained on a non-medical dataset and then tested on two out-of-domain, human cell datasets.
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function
We propose NullSpaceNet, a novel network that maps from the pixel level input to a joint-nullspace (as opposed to the traditional feature space), where the newly learned joint-nullspace features have clearer interpretation and are more separable.
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Recently, Siamese trackers have achieved state-of-the-art performance on recent benchmarks.
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Convolutional Siamese neural networks have been recently used to track objects using deep features.
