SOTAVerified

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

Showing 326350 of 455 papers

TitleStatusHype
VideoSSL: Semi-Supervised Learning for Video Classification0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners0
Video Token Merging for Long-form Video Understanding0
Video Understanding as Machine Translation0
VidTr: Video Transformer Without Convolutions0
Visual Data Synthesis via GAN for Zero-Shot Video Classification0
Walk-Steered Convolution for Graph Classification0
When Video Classification Meets Incremental Classes0
Where and when to look? Spatial-temporal attention for action recognition in videos0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network0
Towards Train-Test Consistency for Semi-supervised Temporal Action Localization0
MANIFOLDNET: A DEEP NEURAL NETWORK FOR MANIFOLD-VALUED DATA0
Metric-Based Few-Shot Learning for Video Action Recognition0
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification0
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation0
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition0
Multi-Label Activity Recognition using Activity-specific Features and Activity Correlations0
Multi-label Video Classification for Underwater Ship Inspection0
Multi-modal Aggregation for Video Classification0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography0
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models0
Loss Switching Fusion with Similarity Search for Video ClassificationCode0
Differentiable Resolution Compression and Alignment for Efficient Video Classification and RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)95.2Unverified
2MA-LMMAccuracy (%)93Unverified
3S5Accuracy (%)90.7Unverified
4TranS4merAccuracy (%)90.27Unverified
5D-Sprv.Accuracy (%)89.9Unverified
6ViS4merAccuracy (%)88.2Unverified
7GHRMAccuracy (%)75.5Unverified
8TimeceptionAccuracy (%)71.3Unverified
9VideoGraphAccuracy (%)69.5Unverified
#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)93.5Unverified
2MA-LMMAccuracy (%)93.2Unverified
3S5Accuracy (%)90.8Unverified
4D-Sprv.Accuracy (%)90Unverified
5TranS4merAccuracy (%)89.3Unverified
6ViS4merAccuracy (%)88.4Unverified
7TSNAccuracy (%)73.4Unverified
#ModelMetricClaimedVerifiedStatus
1VTNAccuracy77.85Unverified
2I3DAccuracy72.11Unverified
3ConvLSTMAccuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1DCGN (self-attention graph pooling)Hit@187.7Unverified
2Hierarchical LSTM with MoEHit@186.8Unverified
3Mixture-of-2-ExpertsHit@170.1Unverified
#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy99.5Unverified
2CNN+LSTM1:1 Accuracy98Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridmAP38.2Unverified
#ModelMetricClaimedVerifiedStatus
1Cooperative Ours (3rd-person)Accuracy (%)24.7Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridTop-177.6Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAccuracy (%)73.95Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy84Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy91Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Label Prototypes Contrastive LearningAUPR88.4Unverified