THUMOS14
PulseAugur coverage of THUMOS14 — every cluster mentioning THUMOS14 across labs, papers, and developer communities, ranked by signal.
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SpikeTAD uses SNNs for low-power video action detection
Researchers have developed SpikeTAD, a novel Spiking Neural Network (SNN) architecture for end-to-end temporal action detection in videos. This approach aims to address the high power consumption and large model sizes o…
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ConTrans model advances zero-shot video action localization
Researchers have developed a new model called ConTrans to improve zero-shot temporal action localization in videos. This model integrates convolutional layers with transformer self-attention to better capture both local…
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New TEGU method uses text to localize unseen actions in videos
Researchers have developed a new method called TEGU for zero-shot temporal action localization in videos. This approach leverages textual information from large language models and captions to improve the fine-grained d…