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Found 3 papers, 1 papers with code
iMatching: Imperative Correspondence Learning
Learning feature correspondence is a foundational task in computer vision, holding immense importance for downstream applications such as visual odometry and 3D reconstruction.
AirLoc: Object-based Indoor Relocalization
This results in a robust, accurate, and portable indoor relocalization system, which outperforms the state-of-the-art methods in room-level relocalization by 9. 5% of PR-AUC and 7% of accuracy.
INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation
Based on INS-Conv, an online joint 3D semantic and instance segmentation pipeline is proposed, reaching an inference speed of 15 FPS on GPU and 10 FPS on CPU.
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