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 376–400 of 455 papers

TitleStatusHype
Visual Data Synthesis via GAN for Zero-Shot Video Classification—0
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification—0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos—0
ECO: Efficient Convolutional Network for Online Video UnderstandingCode0
Walk-Steered Convolution for Graph Classification—0
Fine-grained Activity Recognition in Baseball VideosCode0
Group NormalizationCode0
MLtuner: System Support for Automatic Machine Learning TuningCode0
Learning Representative Temporal Features for Action Recognition—0
Structured Label Inference for Visual UnderstandingCode0
Deep-Temporal LSTM for Daily Living Action Recognition—0
Neural Networks for irregularly observed continuous-time Stochastic Processes—0
A Unified Method for First and Third Person Action Recognition—0
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video ClassificationCode0
Attention Clusters: Purely Attention Based Local Feature Integration for Video ClassificationCode0
Appearance-and-Relation Networks for Video ClassificationCode0
Attend and Interact: Higher-Order Object Interactions for Video Understanding—0
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification—0
End-to-End Video Classification with Knowledge Graphs—0
Convolutional Drift Networks for Video Classification—0
Multi-modal Aggregation for Video Classification—0
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor—0
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API—0
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification—0
Large-scale Video Classification guided by Batch Normalized LSTM Translator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)95.2—Unverified
2MA-LMMAccuracy (%)93—Unverified
3S5Accuracy (%)90.7—Unverified
4TranS4merAccuracy (%)90.27—Unverified
5D-Sprv.Accuracy (%)89.9—Unverified
6ViS4merAccuracy (%)88.2—Unverified
7GHRMAccuracy (%)75.5—Unverified
8TimeceptionAccuracy (%)71.3—Unverified
9VideoGraphAccuracy (%)69.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)93.5—Unverified
2MA-LMMAccuracy (%)93.2—Unverified
3S5Accuracy (%)90.8—Unverified
4D-Sprv.Accuracy (%)90—Unverified
5TranS4merAccuracy (%)89.3—Unverified
6ViS4merAccuracy (%)88.4—Unverified
7TSNAccuracy (%)73.4—Unverified
#ModelMetricClaimedVerifiedStatus
1VTNAccuracy77.85—Unverified
2I3DAccuracy72.11—Unverified
3ConvLSTMAccuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1DCGN (self-attention graph pooling)Hit@187.7—Unverified
2Hierarchical LSTM with MoEHit@186.8—Unverified
3Mixture-of-2-ExpertsHit@170.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy99.5—Unverified
2CNN+LSTM1:1 Accuracy98—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridmAP38.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Cooperative Ours (3rd-person)Accuracy (%)24.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridTop-177.6—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAccuracy (%)73.95—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy84—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy91—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Label Prototypes Contrastive LearningAUPR88.4—Unverified