This study focuses on tracking cranes and storks to aid in wetland ecological protection. Multi-target tracking of these birds presents challenges such as frequent occlusions, sudden appearances, and ...

The experimental findings in this section show how well the Multi-View United Transformer Block of the Graph Attention Network detects ASD. Using a variety of neuroimaging modalities, including as MRI ...

ABSTRACT: Vehicle tracking plays a crucial role in intelligent transportation, autonomous driving, and video surveillance. However, challenges such as occlusion, multi-target interference, and ...

This valuable study has the potential to shed mechanistic light on how attention mechanisms that influence competition between multiple visual stimuli are modulated by the relative neural similarity ...

Great apes visually track subject-object relationships like humans do, study finds When observing someone interact with something, humans and apes alternate attention between the two subjects Date ...

Great apes track events with their eyes in the same way that humans do, according to a study published November 26 in the open-access journal PLOS Biology by Vanessa Wilson from the University of ...

> eggnet infer --help Usage: eggnet infer [OPTIONS] TRAINING_CONFIG Options: -c, --checkpoint TEXT Checkpoint to use for inference [required] -o, --output_dir TEXT Directory to save the output pyg ...

Graph neural networks (GNNs) have revolutionized drug discovery in chemistry and biology, enhancing efficiency and reducing resource demands. However, classical GNNs often struggle to capture ...