3 accepted papers
The YOLO series of models are pivotal for real-time object detection, yet their deployment on resource-constrained edge devices necessitates effective model compression. Post-Training Quantization (PTQ) offers a promising, low-cost solution, but existing methods, primarily designed for classificatio…
Remote sensing image generation is of great value for virtual environment creation and adversarial learning for fake news detection. It could also address the learning sample shortage in the region of interest. However, most current image generation methods are limited to producing images of fixed s…
Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval. One major challenge is that significant shape information are discarded during 2D view rendering through projection. In this paper, we propose a convolutional neural network based method, CenterN…