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аналитика - Online Action Segmentation
Online Temporal Action Segmentation with Adaptive Memory and Context-Aware Feature Augmentation
This research paper introduces a novel framework for online temporal action segmentation (TAS) in videos, featuring an adaptive memory bank to capture temporal context and a context-aware feature augmentation module to enhance frame representations, leading to state-of-the-art performance in online action segmentation.
Online Temporal Action Segmentation with Surround Sampling and Temporally Aware Label Cleaning
Introducing two methods, surround dense sampling and Online Temporally Aware Label Cleaning (O-TALC), to improve the performance of online temporal action segmentation by addressing the issues of inaccurate segment boundaries and oversegmentation.
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