UntrimmedNets for Weakly Supervised Action Recognition and Detection
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Cites methods or result from "UntrimmedNets for Weakly Supervised..."
...On THUMOS14, we use top-2 video-level classes generated by UntrimmedNet [43] for proposals generated by BSN and other methods, where multiplication of confidence score and class score is used for retrieving detections....
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...On THUMOS14, we use top-2 video-level classes generated by UntrimmedNet [48] for proposals generated by BSN and other methods....
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...Table 6: Action detection results on testing set of THUMOS14 in terms of mAP@tIoU , where classification results generated by UntrimmedNet [43] and SCNN-classifier [32] are combined with proposals generated by BSN and other methods....
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...The comparison results of THUMOS14 shown in Table 6 suggest that (1) using same action classifier, our method achieves significantly better performance than other proposal generation methods; (2) comparing with proposal-level classifier [32], video-level classifier [43] achieves better performance on BSN proposals and worse performance on [4] and [13] proposals, which indicates that confidence scores generated by BSN are more reliable than scores generated by proposal-level classifier, and are reliable enough for retrieving detection results in action detection task; (3) detection framework based on our proposals significantly outperforms state-of-the-art action detection methods, especially when the overlap threshold is high....
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"UntrimmedNets for Weakly Supervised..." refers methods in this paper
...We choose the Inception architecture [16] with Batch Normalization for the UntrimmedNet design and we initialize UntrimmedNet parameters with pre-trained models from ImageNet [5]....
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...In the experiments, we try out two architectures: Two-Stream CNN [38] with deeper architecture [16] and Temporal Segment Network [48] with the same architecture....
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