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A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery
Then, we propose a Multi-view Graph and Complexity Aware Transformer (MGCAT) model to encode these semantics in trajectory pre-training from two aspects: 1) adaptively aggregate the multi-view graph features considering trajectory pattern, and 2) higher attention to critical nodes in a complex trajectory.
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
Visual place recognition (VPR) is a challenging task with the unbalance between enormous computational cost and high recognition performance.
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