-
Article
Part-pixel transformer with smooth alignment fusion for domain adaptation person re-identification
The method of generating pseudo-labels by clustering is proved to be effective in unsupervised domain adaptation (UDA) person re-identification (re-ID). However, the pseudo-labels contain a lot of noise, which...
-
Article
Open AccessCategory-Aware Saliency Enhance Learning Based on CLIP for Weakly Supervised Salient Object Detection
Weakly supervised salient object detection (SOD) using image-level category labels has been proposed to reduce the annotation cost of pixel-level labels. However, existing methods mostly train a classification...
-
Article
Multi-stream ternary enhanced graph convolutional network for skeleton-based action recognition
A novel mechanism for skeleton-based action recognition is proposed in this paper by enhancing and fusing diverse skeleton features from distinct levels. Graph convolutional neural networks (GCNs) have been pr...
-
Article
Heterogeneous dual network with feature consistency for domain adaptation person re-identification
To reduce the noisy pseudo-labels generated by clustering for unsupervised domain adaptation (UDA) person re-identification (re-ID), the method of collaborative training between dual networks has been proposed...
-
Article
Building Energy Consumption Prediction Based on Temporal-Aware Attention and Energy Consumption States
Accurate energy consumption prediction helps to achieve more reasonable power system design, and is of great significance to energy saving and power safety. As the main input feature of traditional prediction ...
-
Article
Spatiotemporal attention enhanced features fusion network for action recognition
In recent years, action recognition has become a popular and challenging task in computer vision. Nowadays, two-stream networks with appearance stream and motion stream can make judgment jointly and get excell...
-
Article
Collaborative model with adaptive selection scheme for visual tracking
Visual tracking is a challenging task since it involves develo** an effective appearance model to deal with numerous factors. In this paper, we propose a robust object tracking algorithm based on a collabora...