SDebrisNet: A spatial–temporal saliency network for space debris detection

J Tao, Y Cao, M Ding - Applied Sciences, 2023 - mdpi.com
The rapidly growing number of space activities is generating numerous space debris, which
greatly threatens the safety of space operations. Therefore, space-based space debris …

A Sensitivity-based Pruning Method for Convolutional Neural Networks

C Zhong, Y He, Y An, WWY Ng… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The application of convolutional neural networks (CNNs) is sometimes limited by a large
number of parameters and floating-point operations. Pruning methods have been proved to …

Exploring a Self-Attentive Multilayer Cross-Stacking Fusion Model for Video Salient Object Detection

H Yang, N Mu, J Guo, R Wang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
As an effective measure to capture the object of interest in video sequence, video salient
object detection (VSOD) requires the processing of information from spatial-motion …

Video salient object detection via self-attention-guided multilayer cross-stack fusion

H Yang, N Mu, J Guo, Y Hu, R Wang - Multimedia Tools and Applications, 2024 - Springer
Video salient object detection is an effective measure for identifying objects of interest within
video sequences, which requires the processing of information from spatial-motion patterns …

Temporal Aggregation with Context Focusing for Few-Shot Video Object Detection

W Han, J Lei, F Wang, Z Feng… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Few-shot video object detection focuses on finding all the objects in a given query video that
belong to the same class, given only a few support images of the target object in an unseen …