Hugging Face Trending Papers
SpikePose: Lightweight Video Human Pose Estimation
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arXiv Computer Vision
2d ago
SpikePose: Lightweight Video Human Pose Estimation
arXiv:2611.06594v1 Announce Type: new Abstract: Efficient video human pose estimation must balance localisation accuracy, motion quality, and energy cost. We present SpikePose, a lightweight video po...
arXiv Computer Vision
Sep 2
Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
arXiv:2510.26614v2 Announce Type: replace Abstract: We propose tokenization of events and present a tokenizer, Spiking Patches, specifically designed for event cameras. Given a stream of asynchronous...
arXiv Computer Vision
Sep 22
Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking
arXiv:2609.24403v1 Announce Type: new Abstract: Biological visual systems achieve continuous, low-latency motion perception by processing sparse, asynchronous spiking signals, enabling real-time trac...
arXiv Computation and Language
Oct 1
Spike-driven Vision-Language-Action Model
arXiv:2609.39514v1 Announce Type: new Abstract: Vision-language-action (VLA) models bridge multimodal understanding and robotic control, advancing the dominant paradigm for embodied intelligence. How...
arXiv Machine Learning
Oct 28
Evaluating Spiking MoveNet Deployability for Near-Future Onboard Spiking Satellite Pose Estimation
The paper evaluates a spiking version of the MoveNet architecture, called S-MoveNet-Lightning, for autonomous spacecraft pose estimation. Using the RAPTOR dataset, it compares the spiking model to the standard MoveNet-Lightning, finding that the spiking version requires on average 2.2 times fewer multiplication and accumulation operations on FPGA platforms with AMD Deep Learning Processor Units. The study highlights balanced advantages in computational resources and architectural settings for spiking U‑Net‑like architectures in embedded, event‑driven space applications.
arXiv Computation and Language
Oct 8
SpikingVLA: Asynchronous Spiking Vision-Language-Action Models
arXiv:2610.09710v1 Announce Type: new Abstract: ANN-to-SNN conversion offers a practical route toward energy-efficient spiking Vision-Language-Action (VLA) models by bypassing the substantial cost of...