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 151175 of 455 papers

TitleStatusHype
Convolutional Drift Networks for Video Classification0
Active Learning for Video Classification with Frame Level Queries0
Learning Video Representations using Contrastive Bidirectional Transformer0
Context-Aware Detection of Mixed Critical Events using Video Classification0
A Spectral Nonlocal Block for Neural Networks0
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks0
Compound Memory Networks for Few-shot Video Classification0
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision0
Language as the Medium: Multimodal Video Classification through text only0
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets0
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos0
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels0
Large-scale Video Classification guided by Batch Normalized LSTM Translator0
Goal-driven text descriptions for images0
GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video0
Classifying Video based on Automatic Content Detection Overview0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention0
Graph-Based High-Order Relation Modeling for Long-Term Action Recognition0
Graph-based Isometry Invariant Representation Learning0
Generating Natural Language Summaries for Multimedia0
A spatiotemporal model with visual attention for video classification0
Handcrafted Local Features are Convolutional Neural Networks0
Hand Hygiene Video Classification Based on Deep Learning0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos0
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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