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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?

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS ACTIVITY RECOGNITION IN VIDEOS EGOCENTRIC ACTIVITY RECOGNITION 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

A Multigrid Method for Efficiently Training Video Models

CVPR 2020 facebookresearch/SlowFast

We empirically demonstrate a general and robust grid schedule that yields a significant out-of-the-box training speedup without a loss in accuracy for different models (I3D, non-local, SlowFast), datasets (Kinetics, Something-Something, Charades), and training settings (with and without pre-training, 128 GPUs or 1 GPU).

ACTION DETECTION ACTION RECOGNITION IN VIDEOS VIDEO UNDERSTANDING

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

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.

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

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS 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.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS SKELETON BASED ACTION RECOGNITION