Titlebook: Image and Vision Computing; 37th International C Wei Qi Yan,Minh Nguyen,Martin Stommel Conference proceedings 2023 The Editor(s) (if applic

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,Extending Temporal Data Augmentation for?Video Action Recognition, the relationship between the spatial and temporal domains and achieve a deeper level of perturbations. The video action recognition results of our techniques outperform their respective variants in Top-1 and Top-5 settings on the UCF-101 [.] and the HMDB-51 [.] datasets.

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,Assessing the?Condition of?Copper Conductors Using Deep Learning, condition into multiple classes ranked by the type and severity of the degradation. The best test accuracy of 83.02% was reached. This model can be used to improve on the current manually-intensive and time consuming inspection practice commonly used in the electrical distribution industry.

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,Outlier Detection for?Visual Odometry in?Vegetated Scenes Using Local Flow Consistency, synthetic data containing wide ranges of scene motion. Our results show that the proposed method works well as a pre-processing step to RANSAC, improving pose estimation accuracy in dynamic vegetated environments with minimal computation overhead.

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