Human Action Localization with Sparse Spatial Supervision

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Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 (2020, neutral): “8% DALY [59] 3 7 3 10 3,907 31.”
Simitate: A Hybrid Imitation Learning Benchmark (2019, neutral): “Weinzaepfel et al. [30] presented DALY, a dataset containing ten daily activity classes found in 500 youtube videos with a total duration of 31 hours.”
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs (2019, background): “AVA [26] 108 504K 80 - X 49 Charades [66] 82 10K 157 X 37 EPIC-Kitchen [15] 55 125 X 331 DALY [75] 31 8K 10 X X 41 3.”
W-TALC: Weakly-supervised Temporal Activity Localization and Classification (2018, background): “A recent work [60] utilizes state-of-the-art object detectors for spatial annotations but considers full temporal supervision.”
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding (2020, methodology): “More challenging datasets are proposed subsequently, including UCF101 [40], Kinetics [3], ActivityNet [11], Moments in Time [32], and others [25, 18, 50, 2, 52, 38, 33, 22, 46, 31, 20].”
A flexible model for training action localization with varying levels of supervision (2018, methodology): “The DALY dataset [46] is a recent large-scale dataset for action localization, with 10 different daily actions (e.”