TCCA combines a bi-directional context regularizer and a CRF with learned action-transition probabilities to improve long-term action anticipation on four benchmarks.
How much temporal long-term context is needed for action segmentation? In Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, pages 10351–10361, 2023
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Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
TCCA combines a bi-directional context regularizer and a CRF with learned action-transition probabilities to improve long-term action anticipation on four benchmarks.