TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition
A compact and efficient approach for Visual Place Recognition using extreme low-bit quantization and progressive distillation.
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VSLAM: Visual Simultaneous Localization and Mapping
VSLAMs a streamlined Python implementation of Stereo Visual SLAM. It leverages libraries such as numpy, opencv, and scipy for feature detection, tracking, matching, motion estimation, and optimization—all designed with the KITTI dataset in mind.