Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

The coverage of the diagram space can be attained by grouping them into a finite number of disjoint equivalence classes, each containing diagrams that are structurally equivalent, and analyzing at ...

Over the recent years, there has been a growing interest in class-incremental 3D object detection based on point clouds. However, the current state-of-the-art ( ...

Class activation maps (CAMs) are a crucial tool for visualizing the regions within an image that a classifier uses to identify a given object category. Recent studies have leveraged CAMs for weakly ...

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