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cs.CV2025
Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
Christoffer Koo Øhrstrøm, Ronja Güldenring, Lazaros Nalpantidis
We propose tokenization of events and present a tokenizer, Spiking Patches, specifically designed for event cameras. Given a stream of asynchronous and spatially sparse events, our…
cs.CV2025
ClustViT: Clustering-based Token Merging for Semantic Segmentation
Fabio Montello, Ronja Güldenring, Lazaros Nalpantidis
Vision Transformers can achieve high accuracy and strong generalization across various contexts, but their practical applicability on real-world robotic systems is limited due to t…