Template-based discriminative trackers are currently the dominant tracking paradigm due to
their robustness, but are restricted to bounding box tracking and a limited range of …

Object tracking belongs to active research areas in computer vision. We are interested in
matching-based trackers exploiting deep machine learning known as Siamese trackers …

Object rotation is among long-standing, yet still unexplored, hard issues encountered in the
task of weakly supervised object detection (WSOD) from aerial images. Existing …

Satellite video is an emerging surface observation data that has drawn increasing interest
due to its potential in spatiotemporal dynamic analysis. Single object tracking of satellite …

视频目标跟踪是计算机视觉领域重要的研究内容, 主要研究在视频流或者图像序列中定位其中感
兴趣的物体. 视频目标跟踪在视频监控, 无人驾驶, 精确制导等领域中具有广泛的应用, 因此 …

Weakly Supervised Object Detection (WSOD) is of increasing importance in the community
of computer vision as its extensive applications and low manual cost. Most of the advanced …

While end-to-end approaches have achieved state-of-the-art performance in many
perception tasks, they are not yet able to compete with 3D geometry-based methods in pose …

Rotation-equivariance is an essential yet challenging property in oriented object detection.
While general object detectors naturally leverage robustness to spatial shifts due to the …

With the advancement in remote sensing satellite technology, object tracking in satellite
videos has become an emerging research field. However, due to small object size, little …

Despite the extensive research on RGBT object tracking, there are still several challenges
and issues in practical applications, such as modality differences, lighting variations and …