Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation
Modality gap between RGB and thermal infrared (TIR) images is a crucial issue but often
overlooked in existing RGBT tracking methods. It can be observed that modality gap mainly …
overlooked in existing RGBT tracking methods. It can be observed that modality gap mainly …
MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
S Lai, C Liu, J Zhu, B Kang, Y Liu, D Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Existing RGB-T tracking algorithms have made remarkable progress by leveraging the
global interaction capability and extensive pre-trained models of the Transformer …
global interaction capability and extensive pre-trained models of the Transformer …
Top-down Cross-modal Guidance for Robust RGB-T Tracking
Most RGB-T trackers heavily rely on bottom-up attention and thus overlook top-down cross-
modal guidance for learning target features. Consequently, the discriminative power of the …
modal guidance for learning target features. Consequently, the discriminative power of the …
Exploring Multi-modal Spatial-Temporal Contexts for High-performance RGB-T Tracking
In RGB-T tracking, there exist rich spatial relationships between the target and backgrounds
within multi-modal data as well as sound consistencies of spatial relationships among …
within multi-modal data as well as sound consistencies of spatial relationships among …
Cross-modulated Attention Transformer for RGBT Tracking
Existing Transformer-based RGBT trackers achieve remarkable performance benefits by
leveraging self-attention to extract uni-modal features and cross-attention to enhance multi …
leveraging self-attention to extract uni-modal features and cross-attention to enhance multi …
Middle fusion and multi-stage, multi-form prompts for robust RGB-T tracking
Q Wang, Y Bai, H Song - Neurocomputing, 2024 - Elsevier
RGB-T tracking, a vital downstream task of object tracking, has made remarkable progress in
recent years. Yet, it remains hindered by two major challenges:(1) the trade-off between …
recent years. Yet, it remains hindered by two major challenges:(1) the trade-off between …
Towards a Generalist and Blind RGB-X Tracker
With the emergence of a single large model capable of successfully solving a multitude of
tasks in NLP, there has been growing research interest in achieving similar goals in …
tasks in NLP, there has been growing research interest in achieving similar goals in …
AFter: Attention-based Fusion Router for RGBT Tracking
Multi-modal feature fusion as a core investigative component of RGBT tracking emerges
numerous fusion studies in recent years. However, existing RGBT tracking methods widely …
numerous fusion studies in recent years. However, existing RGBT tracking methods widely …
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
Existing RGBT tracking methods often design various interaction models to perform cross-
modal fusion of each layer, but can not execute the feature interactions among all layers …
modal fusion of each layer, but can not execute the feature interactions among all layers …
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
Y Zhu, Q Wang, C Li, J Tang, Z Huang - arXiv preprint arXiv:2408.00969, 2024 - arxiv.org
The complementary benefits from visible and thermal infrared data are widely utilized in
various computer vision task, such as visual tracking, semantic segmentation and object …
various computer vision task, such as visual tracking, semantic segmentation and object …