Adversarial attacks of deep neural networks have been intensively studied on image, audio,
and natural language classification tasks. Nevertheless, as a typical while important real …

With a good balance between tracking accuracy and speed, correlation filter (CF) has
become one of the best object tracking frameworks, based on which many successful …

At this moment, GAN-based image generation methods are still imperfect, whose
upsampling design has limitations in leaving some certain artifact patterns in the …

Spatial regularization (SR) is known as an effective tool to alleviate the boundary effect of
correlation filter (CF), a successful visual object tracking scheme, from which a number of …

With a good balance between accuracy and speed, correlation filter (CF) has become a
popular and dominant visual object tracking scheme. It implicitly extends the training …

This paper presents a novel correlation filter-based tracking method for robust visual object
tracking in the presence of partial occlusion, large-scale variation and model drift. To do this …

Visual object tracking is a very important task in computer vision. This paper develops a
method based on the convolutional neural network (CNN) and correlation filters for visual …

Real-time object tracking for unmanned aerial vehicles (UAVs) is an essential and
challenging research topic for computer vision. However, the scenarios that UAVs deal with …

Correlation filters (CF), a popular tool for visual tracking, suffer from unwanted boundary
effects due to the periodic assumption needed for FFT implementation. To address this …

In recent years, SiamFC-based trackers have received much attention because of their great
potentials in balancing tracking accuracy and speed. However, the robustness of most such …