Abstract: The thermal radiation reflection properties of real material surfaces tend to be directional, which leads to inaccuracies in existing methods for measuring the diffuse inner surface ...
Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...
Abstract: In the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting ...
Abstract: An efficient method, characteristic mode-multilevel fast multipole algorithm-clustering (CM-MLFMA-Clustering) method, is proposed for analyzing electromagnetic scattering in multi-object ...
Abstract: Pretraining is showing fundamental importance in computer vision, to initialize the backbones of deep learning models with large natural image datasets, e.g., ImageNet. However, there is ...
This course is designed to assist counseling students in understanding research methods, qualitative and statistical analysis, needs assessment, and program evaluation relevant to the field of ...
High-speed 3D printing has just gotten a lot faster. Researchers from Tsinghua University in China have developed a new high-speed printing technology capable of creating complex millimeter-scale ...
Using an affordable 3D printer and the CRAFT method, researchers created a model human hand from a single feedstock with distinct domains that mimic the hardness or flexibility of skin, ligaments, ...
Abstract: Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types ...
Abstract: Despite the remarkable success of remote sensing object detection, these methods primarily operate under a closed-world paradigm, as they often misclassify or ignore novel objects in ...
Abstract: In the context of autonomous driving, it is both critical and challenging to locate 3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoric ...
Abstract: Aiming at the specific characteristics of flying bird objects in surveillance video, such as the typically non-obvious features in single-frame images, small size in most instances, and ...
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