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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...
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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...
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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...
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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...