Video Classification

Video Classification is the task of producing a label that is relevant to the video given its frames. A good video level classifier is one that not only provides accurate frame labels, but also best describes the entire video given the features and the annotations of the various frames in the video. For example, a video might contain a tree in some frame, but the label that is central to the video might be something else (e.g., “hiking”). The granularity of the labels that are needed to describe the frames and the video depends on the task. Typical tasks include assigning one or more global labels to the video, and assigning one or more labels for each frame inside the video.

Source: Efficient Large Scale Video Classification

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 226–250 of 455 papers

Title	Date	Tasks	Status	Hype
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths	Mar 2, 2021	image-classificationImage Classification	—Unverified	0
A Temporal Fusion Approach for Video Classification with Convolutional and LSTM Neural Networks Applied to Violence Detection	Feb 20, 2021	Action RecognitionVideo Classification	—Unverified	0
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification	Feb 17, 2021	Computational EfficiencyDiagnostic	—Unverified	0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs	Feb 9, 2021	3D Semantic SegmentationSemantic Segmentation	CodeCode Available	0
Is Space-Time Attention All You Need for Video Understanding?	Feb 9, 2021	Action ClassificationAction Recognition	CodeCode Available	2
Distribution Adaptive INT8 Quantization for Training CNNs	Feb 9, 2021	image-classificationImage Classification	—Unverified	0
Privacy-Preserving Video Classification with Convolutional Neural Networks	Feb 6, 2021	ClassificationEmotion Recognition	—Unverified	0
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks	Jan 18, 2021	ClassificationEEG	—Unverified	0
Piano Skills Assessment	Jan 13, 2021	Action Quality AssessmentAudio Classification	CodeCode Available	1
Self-Supervised Pretraining of 3D Features on any Point-Cloud	Jan 7, 2021	Objectobject-detection	CodeCode Available	1
Reinforcement Learning with Latent Flow	Jan 6, 2021	Atari Gamescontinuous-control	CodeCode Available	1
Self-supervised Temporal Learning	Jan 1, 2021	Contrastive LearningRetrieval	—Unverified	0
Shuffle to Learn: Self-supervised learning from permutations via differentiable ranking	Jan 1, 2021	General ClassificationSelf-Supervised Learning	—Unverified	0
CNNs for JPEGs: A Study in Computational Cost	Dec 26, 2020	Edge-computingImage Classification	—Unverified	0
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates	Dec 18, 2020	ClassificationGeneral Classification	—Unverified	0
Smoothed Gaussian Mixture Models for Video Classification and Recommendation	Dec 17, 2020	Action RecognitionClassification	—Unverified	0
VideoMix: Rethinking Data Augmentation for Video Classification	Dec 7, 2020	Action LocalizationAction Recognition	CodeCode Available	1
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models	Dec 3, 2020	General Classificationimage-classification	—Unverified	0
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification	Dec 1, 2020	3D ArchitectureAction Recognition	CodeCode Available	1
Is normalization indispensable for training deep neural network?	Dec 1, 2020	General Classificationimage-classification	CodeCode Available	1
t-EVA: Time-Efficient t-SNE Video Annotation	Nov 26, 2020	Dimensionality ReductionVideo Classification	—Unverified	0
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment	Nov 4, 2020	Video Classification	CodeCode Available	0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs	Oct 6, 2020	3D Semantic SegmentationSemantic Segmentation	CodeCode Available	0
Attention-Aware Noisy Label Learning for Image Classification	Sep 30, 2020	ClassificationGeneral Classification	—Unverified	0
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks	Sep 17, 2020	Inductive BiasObject	CodeCode Available	1

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All datasets Breakfast COIN MoB YouTube-8M Hockey Fight Detection Dataset Charades Home Action Genome Kinetics Multimodal PISA Something-Something V1 Something-Something V2 SRI-APPROVE Fine-Grained Video Classification

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HERMES	Accuracy (%)	95.2	—	Unverified
2	MA-LMM	Accuracy (%)	93	—	Unverified
3	S5	Accuracy (%)	90.7	—	Unverified
4	TranS4mer	Accuracy (%)	90.27	—	Unverified
5	D-Sprv.	Accuracy (%)	89.9	—	Unverified
6	ViS4mer	Accuracy (%)	88.2	—	Unverified
7	GHRM	Accuracy (%)	75.5	—	Unverified
8	Timeception	Accuracy (%)	71.3	—	Unverified
9	VideoGraph	Accuracy (%)	69.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HERMES	Accuracy (%)	93.5	—	Unverified
2	MA-LMM	Accuracy (%)	93.2	—	Unverified
3	S5	Accuracy (%)	90.8	—	Unverified
4	D-Sprv.	Accuracy (%)	90	—	Unverified
5	TranS4mer	Accuracy (%)	89.3	—	Unverified
6	ViS4mer	Accuracy (%)	88.4	—	Unverified
7	TSN	Accuracy (%)	73.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VTN	Accuracy	77.85	—	Unverified
2	I3D	Accuracy	72.11	—	Unverified
3	ConvLSTM	Accuracy	69.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DCGN (self-attention graph pooling)	Hit@1	87.7	—	Unverified
2	Hierarchical LSTM with MoE	Hit@1	86.8	—	Unverified
3	Mixture-of-2-Experts	Hit@1	70.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Structured Keypoint Pooling	Accuracy	99.5	—	Unverified
2	CNN+LSTM	1:1 Accuracy	98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multigrid	mAP	38.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cooperative Ours (3rd-person)	Accuracy (%)	24.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multigrid	Top-1	77.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Video	Accuracy (%)	73.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSNet-R50En (ours)	Top-5 Accuracy	84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSNet-R50En (ours)	Top-5 Accuracy	91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Label Prototypes Contrastive Learning	AUPR	88.4	—	Unverified