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 301–325 of 455 papers

Title	Date	Tasks	Status	Hype
Metric-Based Few-Shot Learning for Video Action Recognition	Sep 14, 2019	Action RecognitionFew-Shot Learning	—Unverified	0
Identifying and Resisting Adversarial Videos Using Temporal Consistency	Sep 11, 2019	Video Classification	—Unverified	0
Distributed Deep Convolutional Neural Networks for the Internet-of-Things	Aug 2, 2019	Decision MakingDistributed Computing	—Unverified	0
Two-Stream Video Classification with Cross-Modality Attention	Aug 1, 2019	Action ClassificationAction Recognition	—Unverified	0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition	Jul 31, 2019	Action RecognitionGeneral Classification	—Unverified	0
AVD: Adversarial Video Distillation	Jul 12, 2019	Activity RecognitionDecoder	—Unverified	0
Loss Switching Fusion with Similarity Search for Video Classification	Jun 27, 2019	ClassificationClustering	CodeCode Available	0
Few-Shot Video Classification via Temporal Alignment	Jun 27, 2019	Action RecognitionClassification	—Unverified	0
Spatio-Temporal Fusion Networks for Action Recognition	Jun 17, 2019	Action RecognitionVideo Classification	—Unverified	0
Learning Spatio-Temporal Representation with Local and Global Diffusion	Jun 13, 2019	Action ClassificationAction Detection	CodeCode Available	0
Learning Video Representations using Contrastive Bidirectional Transformer	Jun 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
FASTER Recurrent Networks for Efficient Video Classification	Jun 10, 2019	Action ClassificationAction Recognition	—Unverified	0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network	Jun 2, 2019	General ClassificationGraph Neural Network	—Unverified	0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures	May 30, 2019	Action ClassificationAction Recognition	CodeCode Available	0
EEG-based Emotional Video Classification via Learning Connectivity Structure	May 28, 2019	ClassificationEEG	CodeCode Available	1
Hallucinating Optical Flow Features for Video Classification	May 28, 2019	ClassificationGeneral Classification	CodeCode Available	0
Exploring Temporal Information for Improved Video Understanding	May 25, 2019	Action RecognitionOptical Flow Estimation	CodeCode Available	0
VideoGraph: Recognizing Minutes-Long Human Activities in Videos	May 13, 2019	Long-video Activity RecognitionVideo Classification	—Unverified	0
On Flow Profile Image for Video Representation	May 12, 2019	Activity RecognitionOptical Flow Estimation	—Unverified	0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints	May 12, 2019	General Classificationimage-classification	CodeCode Available	0
Billion-scale semi-supervised learning for image classification	May 2, 2019	ClassificationGeneral Classification	CodeCode Available	1
The Expressive Power of Deep Neural Networks with Circulant Matrices	May 1, 2019	General ClassificationVideo Classification	—Unverified	0
MANIFOLDNET: A DEEP NEURAL NETWORK FOR MANIFOLD-VALUED DATA	May 1, 2019	General ClassificationImage Reconstruction	—Unverified	0
Where and when to look? Spatial-temporal attention for action recognition in videos	May 1, 2019	Action RecognitionAction Recognition In Videos	—Unverified	0
Factor Analysis in Fault Diagnostics Using Random Forest	Apr 30, 2019	AttributeClustering	—Unverified	0

Show:10 25 50

← PrevPage 13 of 19Next →

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