This paper presents the visual surveillance aspects of a distributed intelligent system that has been developed in the context of aircraft activity monitoring.
Oct 26, 2024 · We propose a novel and efficient prompt learning method for HOT tasks, termed Moderate Visual Prompt for HOT (MVP-HOT).
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[TechRxiv-2024] Hyperspectral Object Tracking with Spectral Information Prompt ... [WHISPERS-2023] VP-HOT: Visual Prompt for Hyperspectral Object Tracking ...
Oct 17, 2023 · HOT2023 Fifth Place. We adopted a prompt-learning approach to address the lack of hyperspectral datasets and devised a way to provide the ...
Aug 1, 2024 · Specifically, MVP-HOT freezes the parameters of the pre-trained model and employs HSIs as visual prompts to leverage the knowledge of the ...
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We propose a spectral similarity prompt learning approach for hyperspectral object tracking (SPTrack). First, we introduce a spectral matching map based on ...
Dec 16, 2024 · VP-HOT: Visual Prompt for Hyperspectral Object Tracking. October 2023 ... MVP-HOT: A Moderate Visual Prompt for Hyperspectral Object Tracking.
Oct 7, 2024 · VP-HOT: Visual Prompt for Hyperspectral Object Tracking. WHISPERS ... Hyperspectral Anomaly Detection via Spatial Density Background Purification.
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[PDF] 2023 13th Workshop on Hyperspectral Imaging and Signal Processing
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VP-HOT: Visual Prompt for Hyperspectral Object Tracking ... Multi-Band Hyperspectral Object Tracking: Leveraging Spectral Information Prompts and Spectral.
Hyperspectral imagery provides abundant spectral information beyond the visible RGB bands, offering rich discriminative details about objects in a scene.