We propose to improve the visual object tracking by introducing a soft mask based low-level
feature fusion technique. The proposed technique is further strengthened by integrating …

CNN-based trackers, especially those based on Siamese networks, have recently attracted
considerable attention because of their relatively good performance and low computational …

Siamese network-based trackers are broadly applied to solve visual tracking problems due
to its balanced performance in terms of speed and accuracy. Tracking desired objects in …

Abstract Video Object Segmentation (VOS) is a fundamental task with many real-world
computer vision applications and challenging due to available distractors and background …

Existing Siamese network-based trackers rely on stable appearance features extracted from
the target object. However, such features might not be available during tracking due to non …

Abstract Recently, Convolutional Neural Networks (CNNs) based approaches have
demonstrated an impressive gain over conventional approaches which resulted in rapid …

Tracking with the siamese network has recently gained enormous popularity in visual object
tracking by using the template-matching mechanism. However, using only the template …