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Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Modern pre-trained architectures struggle to retain previous information while undergoing continuous fine-tuning on new tasks.
Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields
Our framework relies on a dense tensor field representation which we implement sparsely as a kernel mixture of tensor fields.
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