… We have also presented the state-of-the-art algorithms in a tabular form that give the best performance on such datasets. In comparison with earlier surveys, our works give a better …
… To find out if an actionrecognition model is biased towards the non-action labels, we design two evaluation protocols based on Kinetics-400 [7]: re-distributing the existing train-val split …
… The toolbox supports a wide variety of skeleton actionrecognitionalgorithms, … benchmarks for skeleton-based actionrecognition. PYSKL has implemented six representative algorithms …
AA Liu, N Xu, WZ Nie, YT Su, Y Wong… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
… We systematically benchmark state-of-the-art approaches on M2I dataset … algorithm [78] can be used to solve (3). At last, K-nearest neighbor algorithm was applied for actionrecognition…
L Wang - arXiv preprint arXiv:2112.08626, 2021 - arxiv.org
… will be analyzed and evaluated using five benchmark … HDG algorithm, and applied it in cross-view actionrecognition … of-the-art algorithms for cross-view actionrecognition. Keywords: …
… of human actionrecognition. Since the first work reported in 2010 [8], many benchmark … development and evaluation of new actionrecognitionalgorithms. However, available RGB-…
… Previous datasets used to benchmark pose estimation or actionrecognitionalgorithms are … Despite all the modifications to the Dense Trajectories algorithm using low-to-mid ground …
D Guo, K Li, B Hu, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… benchmark network for micro-actionrecognition, namely Micro-… ActionRecognitionBenchmarks In this work, we evaluate nine existing algorithms specifically designed for generic action …
X Wang, S Wang, P Shao, B Jiang, L Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
… To explore the effectiveness of the Mamba network in event-based human actionrecognition tasks, in this work, we propose a novel actionrecognition framework based on a spatial-…