Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3187730
Abstract: The attention mechanism is one of the most influential ideas in the deep learning community, which has shown excellent efficiency in various computer vision tasks. Thus, this article proposes the convolution neural network method with… read more here.
Keywords: attention aware; aware convolutional; lidar data; lidar ... See more keywords
Personality Assessment Based on Multimodal Attention Network Learning With Category-Based Mean Square Error
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3152049
Abstract: Personality analysis is widely used in occupational aptitude tests and entrance psychological tests. However, answering hundreds of questions at once seems to be a burden. Inspired by personality psychology, we propose a multimodal attention network… read more here.
Keywords: personality; network; personality assessment; multimodal attention ... See more keywords
Looking is not enough: Multimodal attention supports the real-time learning of new words.
Sign Up to like & getrecommendations! Published in 2022 at "Developmental science"
DOI: 10.1111/desc.13290
Abstract: Most research on early language learning focuses on the objects that infants see and the words they hear in their daily lives, although growing evidence suggests that motor development is also closely tied to language… read more here.
Keywords: new words; real time; attention; learning new ... See more keywords