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Action Duration Prediction for Segment-Level Alignment of Weakly-LabeledVideos

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Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos

This is the code for our WACV 2021 accepted paper : https://arxiv.org/pdf/2011.10190.pdf

Here we describe the content of the folder:

Alignment_with_TCFPN_PseudoGroundTruth_on_BreakfastDataset:

This folder contains all the neccessary codes and files to reproduce the results for our model using the TCFPN pseudo ground-truth on the breakfast dataset (Table 1 of the paper). The ReadMe file inside this folder provides further instructions to produce the results of our ablation study too.

-action2verb.txt: specifies the action indices for each of the defined verbs. 
-action2object.txt: specifies the corresponding main object of each main action. It also lists the indices for all objects. 

For more questions, please contact the first author of the associated paper - Reza Ghoddoosian (reza.ghoddoosian@mavs.uta.edu).

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