Abstract: Autonomous driving necessitates advanced object detection techniques that integrate information from multiple modalities to overcome the limitations associated with single-modal approaches.
Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...
The Ruby vulnerability is not easy to exploit, but allows an attacker to read sensitive data, start code, and install ...
Vibe coding platforms are powerful, but users often don't know what they created.
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Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
(Nov 25, 2021) Evaluation code along with pre-trained models & pre-computed predictions is released. evaluation/README.md Abstract: What constitutes an object? This has been a long-standing question ...
Abstract: Many LiDAR-based methods for detecting large objects, single-class object detection, or under easy situations were claimed to perform well. However, due to their failure to exploit image ...