Design And Implementation Of An XNOR-Based Variable-Precision Object Detection Accelerator For Real-Time Edge AI Applications
This paper presents a hardware-efficient object detection accelerator based on XNOR-driven variable-precision computation for real-time edge artificial intelligence. The proposed network combines DenseToRes and transition layers to preserve feature information under aggressive quantization. Binary convolution is execut...