Feb 14, 2023 � In this paper, we propose a spatio-temporal matching process to thoroughly explore the capability of 4-D matching in space (height, width and channel) and time.

May 6, 2021 � In temporal matching, we investigate the time-domain context relations of the target and the background and develop an aberrance repressed�...

A novel probabilistic assignment approach that dynamically determines positive/negative samples for each instance and introduces a decoupled IoU prediction�...

Siamese-based algorithms play a dominant role in the field of visual object tracking. SiamFC [1] first treats the tracking task as a similarity matching problem�...

This paper proposes a Siamese-based tracker that incorporates spatial-semantic-aware attention and flexible spatiotemporal constraint.

In this paper, we present a new tracking architecture with an encoder-decoder transformer as the key compo- nent. The encoder models the global�...

The principle of the Siamese neural network is illustrated in Figure 6, where two neural networks are designed on the left and right sides.

The proposed SiamST improves the UAV tracking performance by augmenting the horizontal spatial information and introducing vertical temporal information to the�...

Nov 28, 2023 � This paper proposes a spatio-temporal interactive fusion (STIF) based visual object tracking method. The goal is to fully utilize spatio-temporal background�...

Aug 3, 2024 � Additionally, we design a Spatio-Temporal Feature Aggregation module to integrate Siamese features at multiple scales, capturing motion�...