7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 7 cited
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
cs.CV2020★ 3 cited
Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li, Weimin Wang, Zuoyue Li +2
''Making black box models explainable'' is a vital problem that accompanies the development of deep learning networks. For networks taking visual information as input, one basic bu…