Object trackingRGB-T fusion trackingDynamic Siamese networksDeep learningImage fusionThe task of object tracking is very important since its various applications. However, most object tracking methods are based on visible images, which may fail when visible images are unreliable, for example when the ...
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking. -
A collection of RGB-T-Feature-Fusion methods (deep learning methods mainly), codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Fusion Tracking. Feel free to star and fork! We will continue to update this reposi...
《Attribute‑based progressive fusion network for rgbt tracking》尝试使用Transformer对全局上下文信息进行建模,可以增 强融合特征中特定模态的信息,但不能有效地整合两个模态之间的互补信息。 [0004] 在如何利用融合模态和特定模态之间的关系上,《Object tracking in rgb‑t videos using modal‑aware attention ...
T-234, show that the network, with high tracking precision and success rate, can cope with complex tracking scenarios and has higher tracking performance compared with other networks. Key words:object tracking; RGB-Thermal; multi-scale features; mo...
In visible and thermal infrared tracking(RGB-T), to effectively merge these two modalities building on traditional tracking techniques, this study introduces an attention-based RGB-T tracking approach based on the attention mechanism. This method emp
The primary objective is to adaptively leverage the relatively dominant modality in varying conditions to achieve more robust tracking compared to single-modality tracking. An RGB-T tracker based on mixed attention mechanism to achieve complementary fusion of modalities (referred to as MACFT) is ...
Attribute-based Progressive Fusion Network for RGBT Tracking 作者:肖云 杨蒙蒙 李成龙* 刘磊汤进 论文下载: https://github.com/yangmengmeng1997/APFNet/tree/main/Paper 代码开放: https://github.com/yangmengmeng1997/APFNet RGBT目标跟踪是利用两个模态之间的互补信息来更好地完成跟踪。现有的模型通常是设计...
To enhance tracking performance, Li et al. proposed a method based on the fusion of grayscale and thermal image categories1. Furthermore, they publicly shared their dataset in the paper. RGB-THERMAL trackers are more competitive as they leverage the complementary advantages of the fused RGB and...
or depend on intermediaries containing information from both modalities to achieve cross-modal information interaction. The former does not fully exploit the potential of using only RGB and TIR information of the template or search region for channel and spatial feature fusion, and the latter lacks ...