A low-hardware-overhead, high-energy-efficiency, and end-to-end CNN-based feature extraction accelerator for mobile visual SLAM
Year: 2024
Type: conference-paper
Institution: Huazhong University of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4405845776
