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Found 6 papers, 1 papers with code
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction
Convolutional Neural Networks (CNNs) have demonstrated their effectiveness in numerous vision tasks.
From Detection to Action Recognition: An Edge-Based Pipeline for Robot Human Perception
These robots heavily rely on Human Action Recognition (HAR) to interpret human actions and intentions.
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices
The YOLO family of models is considered the most efficient for object detection, having only a single model pass.
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
A variety of 3D CNN models were evaluated using the proposed toolflow on multiple FPGA devices, demonstrating its potential to deliver competitive performance compared to earlier hand-tuned and model-specific designs.
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition
3D Convolutional Neural Networks are gaining increasing attention from researchers and practitioners and have found applications in many domains, such as surveillance systems, autonomous vehicles, human monitoring systems, and video retrieval.
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
For Human Action Recognition tasks (HAR), 3D Convolutional Neural Networks have proven to be highly effective, achieving state-of-the-art results.
