A proposed method, Enhancement, integration, and Expansion, aims to activate the
representation of detailed features for occluded person re-identification. Region and context …

Three-Dimensional (3D) dense captioning is an emerging vision-language bridging task that
aims to generate multiple detailed and accurate descriptions for 3D scenes. It presents …

Since the propagation of deep neural networks results in the loss of detailed feature
information, the performance of most object detection methods is limited due to their …

Numerous studies have shown that in-depth mining of correlations between multi-modal
features can help improve the accuracy of cross-modal data analysis tasks. However, the …

For visually impaired individuals, image captioning is a crucial task that utilizes deep
learning models to recognize an image and generate a descriptive sentence, enabling them …

Cross-modal hashing encodes multimodal data into a common binary space, which can
efficiently measure correlations between cross-modal instances. However, most existing …

Hyperspectral image classification (HSIC) has been a significant topic in the field of remote
sensing in the past few years. Convolutional neural networks have shown promising …

Recently, exciting progress has been made in the research of supervised image captioning.
However, manually annotated image-annotation pair data is difficult and expensive to …

The performance of image captioning has been significantly improved recently through deep
neural network architectures combining with attention mechanisms and reinforcement …

Drug combination therapy can reduce drug resistance and improve treatment efficacy,
making it an increasingly promising cancer treatment method. Although existing …