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Found 4 papers, 0 papers with code
Vector-Symbolic Architecture for Event-Based Optical Flow
Based on this HD feature descriptor, we propose a novel feature matching framework for event-based optical flow, encompassing both model-based (VSA-Flow) and self-supervised learning (VSA-SM) methods.
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting
Frame-level micro- and macro-expression spotting methods require time-consuming frame-by-frame observation during annotation.
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment
To improve the PointGoal navigation accuracy without GPS signal, we use visual odometry (VO) and propose a novel action integration module (AIM) trained in unsupervised manner.
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
The experiments show that the proposed system not only achieves comparable performance with other state-of-the-art self-supervised learning-based methods on the KITTI dataset, but also significantly improves the generalization capability compared with geometry-based, learning-based and hybrid VO systems on the noisy KITTI and the challenging outdoor (KAIST) scenes.
