In this paper, we propose a global reasoning-oriented method for RGB-T tracking. In particular, within a multi-task learning framework, our approach adopts a ...
Robust RGB-T tracking via consistency regulated scene perception. Bin Kang, Liwei Liu, Shihao Zhao, Nanjing University of Posts and Telecommunications, China ...
Robust RGB-T tracking via consistency regulated scene perception. 10 Oct 2023. Robust RGB-T tracking via consistency regulated scene perception. SPS. Members ...
Dec 11, 2023 · In this article, we propose correlation filters with adaptive modality weight and cross-modality learning (AWCM) ability to solve multimodality tracking tasks.
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Robust RGB-T Tracking via Consistency Regulated Scene Perception. Conference ... Robust RGB-T Tracking via Graph Attention-Based Bilinear Pooling.
Apr 30, 2024 · In contrast with the existing datasets, MV-RGBT comprises more object categories and scenes, providing a diverse and challenging benchmark.
Missing: Regulated | Show results with:Regulated
Cited-by 'Multimodal Cross-Layer Bilinear Pooling for RGBT Tracking'
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RGBT tracking seeks to leverage both visible and thermal infrared images to enhance the robustness of target tracking. This method makes up for the limitations ...
Nov 21, 2024 · Robust RGB-T Tracking via Consistency Regulated Scene Perception ... RGB-T tracking methods mainly improve tracking performance by ...
RGB-T tracking takes visible and infrared images as inputs, which is an extended application of multi-modal fusion in the field of visual object tracking.
Apr 15, 2024 · We present C4-MIM, a novel Consistency-constrained RGB-T Crowd Counting approach via Mutual Information Maximization. It effectively leverages multimodal ...