RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Visual prompt multi-modal tracking
Visible-modal object tracking gives rise to a series of downstream multi-modal tracking
tributaries. To inherit the powerful representations of the foundation model, a natural modus …
tributaries. To inherit the powerful representations of the foundation model, a natural modus …
Visible-thermal UAV tracking: A large-scale benchmark and new baseline
With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to
achieve robust performance and wider application scenarios with the guidance of objects' …
achieve robust performance and wider application scenarios with the guidance of objects' …
Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and …
Image fusion aims to integrate complementary characteristics of source images into a single
fused image that better serves human visual observation and machine vision perception …
fused image that better serves human visual observation and machine vision perception …
Attribute-based progressive fusion network for rgbt tracking
RGBT tracking usually suffers from various challenge factors, such as fast motion, scale
variation, illumination variation, thermal crossover and occlusion, to name a few. Existing …
variation, illumination variation, thermal crossover and occlusion, to name a few. Existing …
Bridging search region interaction with template for rgb-t tracking
RGB-T tracking aims to leverage the mutual enhancement and complement ability of RGB
and TIR modalities for improving the tracking process in various scenarios, where cross …
and TIR modalities for improving the tracking process in various scenarios, where cross …
Review and analysis of rgbt single object tracking methods: A fusion perspective
Visual tracking is a fundamental task in computer vision with significant practical
applications in various domains, including surveillance, security, robotics, and human …
applications in various domains, including surveillance, security, robotics, and human …
Learning dual-level deep representation for thermal infrared tracking
The feature models used by existing Thermal InfraRed (TIR) tracking methods are usually
learned from RGB images due to the lack of a large-scale TIR image training dataset …
learned from RGB images due to the lack of a large-scale TIR image training dataset …
Bi-directional adapter for multimodal tracking
Due to the rapid development of computer vision, single-modal (RGB) object tracking has
made significant progress in recent years. Considering the limitation of single imaging …
made significant progress in recent years. Considering the limitation of single imaging …
Learning multi-layer attention aggregation Siamese network for robust RGBT tracking
M Feng, J Su - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Recent years have witnessed the popularity of integrating Siamese network into RGBT
tracking for fast-tracking. However, these trackers mostly utilize the feature information of the …
tracking for fast-tracking. However, these trackers mostly utilize the feature information of the …