Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

With the fast development of remote sensing platforms and sensors technology, change
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …

Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …

Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …

Labeled samples are important in achieving land cover change detection (LCCD) tasks via
deep learning techniques with remote sensing images. However, labeling samples for …

Change detection on multimodal remote sensing images has become an increasingly
interesting and challenging topic in the remote sensing community, which can play an …

Change detection with heterogeneous remote sensing images (HRSIs) is attractive for
observing the Earth's surface when homogeneous images are unavailable. However, HRSIs …

Thanks to the development of deep learning, machine abnormal sound detection (MASD)
based on unsupervised learning has exhibited excellent performance. However, in the task …

Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

Neural networks are used to learn task-oriented high-level representations in an end-to-end
manner by building a multi-layer neural network. Generation models have developed rapidly …