TOFFE combines a trainable spiking speed-separation network with a small analog pose-and-direction network to estimate object flow from event cameras at lower energy and latency than prior methods.
Histograms of oriented gradients for human detection,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking
TOFFE combines a trainable spiking speed-separation network with a small analog pose-and-direction network to estimate object flow from event cameras at lower energy and latency than prior methods.