NetVLAD
CNN‑based visual place recognition via VLAD descriptor aggregation.
NetVLAD is a CNN‑based visual place recognition model that aggregates dense local descriptors into a compact VLAD descriptor using a differentiable soft assignment to learned cluster centroids. Built on a VGG‑16 backbone, it produces a 32,768‑d L2‑normalized descriptor suitable for nearest‑neighbour place retrieval across images taken under varying conditions.
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Applicable Scenarios
- Autonomous navigation and mapping
- Augmented reality scene anchoring
- Robotics localization
License
Model:MIT
Tags
- backbone
Supported IoT Devices
- Dragonwing Q-8750
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-8750
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