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SotA/Computer Vision/Action Segmentation

Action Segmentation

50 benchmarks219 papers

Action Segmentation is a challenging problem in high-level video understanding. In its simplest form, Action Segmentation aims to segment a temporally untrimmed video by time and label each segmented part with one of pre-defined action labels. The results of Action Segmentation can be further used as input to various applications, such as video-to-text and action localization.

<span class="description-source">Source: TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation </span>

Benchmarks

Action Segmentation on Breakfast

AccF1@50%Average F1F1@25%F1@10%EditF1mIoUJSDPrecisionRecall

Action Segmentation on 50 Salads

AccF1@50%F1@25%F1@10%EditF1

Action Segmentation on GTEA

F1@50%F1@25%F1@10%AccEdit

Action Segmentation on Youtube INRIA Instructional

F1AccPrecisionRecallmIoU

Action Segmentation on COIN

Frame accuracy

Action Segmentation on Assembly101

F1@10%F1@25%F1@50%EditMoF

Action Segmentation on JIGSAWS

Edit DistanceAccuracyF1@10F1@25F1@50

Action Segmentation on IKEA ASM

F1AccuracyJSDPrecisionRecall

Action Segmentation on 50Salads

AccEditF1@10%F1@25%F1@50%

Action Segmentation on MPII Cooking 2 Dataset

AccuracymIoU