Skeleton-based action recognition has been paid more and more attention in recent years. Previous researches mainly depend on CNNs or RNNs to capture dependencies among sequences. Recently, graph convolution networks are widely used due to its extraordinary ability to exploit node relationships. We ...
If this is possible, theoretically, with this generative model, a video-based methodology for action recognition can also be conducted on a single static image. In this paper, we attempt to explore the feasibility and effectiveness of this kind of generative model for improving the performance of...
现有的action recognition数据集如Kinetics,视频画面变化不大,相邻帧信息冗余较多。目前很多方法都是将大量的冗余帧输入模型进行识别,利用蒸馏的方法可以一定程度上减少计算量。这方面的文章有ACM MM2018上的Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos以及CVPR2019上的Efficient Video Cla...
CROSS-MODAL KNOWLEDGE DISTILLATION FOR ACTION RECOGNITION(2019 IEEE International Conference on Image Processing (ICIP)) 1.介绍 问题:完全监督训练网络有效,虽然数据集的收集不是问题,但是数据集的标注(定label)是一个比较繁琐的事情。 本文就利用知识蒸馏方法来解决在没有类标签的情况下,如何利用已经训练好的一...
Recent work has explored video action recognition as a video-text matching problem and several effective methods have been proposed based on large-scale pre-trained vision-language models. However, these approaches primarily operate at a coarse-grained level without the detailed and semantic understandin...
(2020). Privileged modality distillation for vessel border detection in intracoronary imaging. IEEE TMI, 39(5), 1524–1534. Google Scholar Garcia, N. C., Morerio, P. & Murino, V. (2018). Modality distillation with multiple stream networks for action recognition. In ECCV. Ge, S., Zhao...
Cross-Modal Knowledge Distillation for Action Recognition. Thoker, Fida Mohammad and Gall, Juerge. ICIP 2019 Learning to Map Nearly Anything. Salem, Tawfiq et al. arXiv:1909.06928 Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. Liu, Qing et al. ICCV 2019 ...
ProfLifeLog: Environmental analysis and keyword recognition for naturalistic daily audio streams In order to improve keyword recognition, this study also develops a front-end environment estimation strategy that uses the knowledge of speech-pause ... A Sangwan,A Ziaei,JHL Hansen - IEEE International ...
And than we build a knowledge enhanced reasoning network, containing purification, fact-aware interaction, and instruction-guided aggregation modules, to integrate the visual features, history features, instruction features, and fact features for action prediction. Extensive experiments are conducted on the...
An evaluation of bags-of-words and spatio-temporal shapes for action recognition Bags-of-visual-Words (BoW) and Spatio-Temporal Shapes (STS) are two very popular approaches for action recognition from video. The former (BoW) is an un-st... TD Campos,M Barnard,K Mikolajczyk,... - IEEE ...