Abstract: The Audio-Visual Question Answering (AVQA) task holds significant potential for applications. Compared to traditional unimodal approaches, the multi-modal input of AVQA makes feature ...
Abstract: With the advancement of high-resolution aerial imaging technology enabled by unmanned aerial vehicles (UAVs), insulator defect detection based on images has emerged as a key approach for ...
Abstract: Hyperspectral anomaly detection (HAD) intends to detect potential anomalous targets hidden in the background of hyperspectral images (HSIs) and has garnered substantial attention in various ...
Online shopping has become a popular way to purchase just about everything, from clothing to furniture, electronics to wellness products and almost anything else you can think of — especially over the ...
The world's best-selling astronomy magazine offers you the most exciting, visually stunning, and timely coverage of the heavens above. Each issue includes expert science reporting, vivid color ...
Abstract: Transformers bring significantly improved performance to the light field image super-resolution task due to their long-range dependency modeling capability. However, the inherently high ...
Abstract: Global effective receptive field plays a crucial role for image style transfer (ST) to obtain high-quality stylized results. However, existing ST backbones (e.g., CNNs and Transformers) ...
Abstract: The low inertia of voltage estimation degrades system performance in islanded DC microgrids (DC MGs). To mitigate this issue, we propose an Adaptive Virtual Inertia and Voltage Estimation ...
From how to French brain or play the guitar to how to unclog a sing or perform CPR, you can learn all kinds of useful skills on YouTube. We at Mental Floss are always eager to learn new things and ...
Hyperspectral target detection (HTD) identifies objects of interest from complex backgrounds at the pixel level, playing a vital role in Earth observation. However, the limited target priors constrain ...
Abstract: Chasing energy efficiency through biologically inspired computing has produced significant interest in neuromorphic computing as a new approach to overcome some of the limitations of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback