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Action Recognition In Videos

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Large-scale weakly-supervised pre-training for video action recognition

CVPR 2019 microsoft/computervision-recipes

Second, frame-based models perform quite well on action recognition; is pre-training for good image features sufficient or is pre-training for spatio-temporal features valuable for optimal transfer learning?

#2 best model for Action Classification on Kinetics-400 (using extra training data)

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS ACTIVITY RECOGNITION IN VIDEOS TRANSFER LEARNING

A Closer Look at Spatiotemporal Convolutions for Action Recognition

CVPR 2018 microsoft/computervision-recipes

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition.

ACTION RECOGNITION IN VIDEOS

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

CVPR 2018 kenshohara/3D-ResNets-PyTorch

The purpose of this study is to determine whether current video datasets have sufficient data for training very deep convolutional neural networks (CNNs) with spatio-temporal three-dimensional (3D) kernels.

ACTION RECOGNITION IN VIDEOS

YouTube-8M: A Large-Scale Video Classification Benchmark

27 Sep 2016google/youtube-8m

Despite the size of the dataset, some of our models train to convergence in less than a day on a single machine using TensorFlow.

 SOTA for Action Recognition In Videos on ActivityNet (using extra training data)

ACTION RECOGNITION IN VIDEOS

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

CVPR 2017 deepmind/kinetics-i3d

The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks.

 SOTA for Action Recognition In Videos on UCF101 (using extra training data)

ACTION RECOGNITION IN VIDEOS SKELETON BASED ACTION RECOGNITION

Temporal Segment Networks for Action Recognition in Videos

8 May 2017open-mmlab/mmaction

Furthermore, based on the temporal segment networks, we won the video classification track at the ActivityNet challenge 2016 among 24 teams, which demonstrates the effectiveness of TSN and the proposed good practices.

#5 best model for Action Classification on Moments in Time (Top 5 Accuracy metric)

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

2 Aug 2016yjxiong/temporal-segment-networks

The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network.

ACTION RECOGNITION IN VIDEOS MULTIMODAL ACTIVITY RECOGNITION