PODCAST: TQD-Track, a novel method for Temporal Query Denoising in 3D Multi-Object Tracking, designed to enhance autonomous systems’ ability to predict object behavior by training them on temporally corrupted data, thereby improving resilience to real-world complexities without increasing inference costs. The other text appraises the current state and future potential of an RF Cognition Infrastructure, … Continue reading Temporal Query Denoising for Multi-Object Tracking