Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation

9 Feb 2016Colin LeaAustin ReiterRene VidalGregory D. Hager

Joint segmentation and classification of fine-grained actions is important for applications of human-robot interaction, video surveillance, and human skill evaluation. However, despite substantial recent progress in large-scale action classification, the performance of state-of-the-art fine-grained action recognition approaches remains low... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Action Segmentation GTEA ST-CNN [email protected]% 58.7 # 7
[email protected]% 41.9 # 7
Acc 60.6 # 7
Edit - # 6
[email protected]% 54.4 # 7

Methods used in the Paper


METHOD TYPE
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