N-CALTECH101
PulseAugur coverage of N-CALTECH101 — every cluster mentioning N-CALTECH101 across labs, papers, and developer communities, ranked by signal.
-
New pruning technique optimizes GCNs for embedded event-based vision
Researchers have developed a hardware-aware pruning and quantization strategy for Graph Convolutional Neural Networks (GCNs) designed for embedded event-based vision systems. This method aims to optimize GCN models for …
-
New EFGCN processes event data on FPGAs with 100x smaller models
Researchers have developed an embedded graph convolutional network (EFGCN) specifically designed for real-time event data processing on System-on-Chip (SoC) FPGAs. This approach significantly reduces model size, by up t…
-
LSFormer advances Spiking Neural Networks with new attention mechanism
Researchers have developed a novel Transformer-based Spiking Neural Network called LSFormer, designed to overcome limitations in existing models. LSFormer introduces Spiking Response Pooling (SPooling) and Local Structu…