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 376400 of 455 papers

TitleStatusHype
MLtuner: System Support for Automatic Machine Learning TuningCode0
Learning Representative Temporal Features for Action Recognition0
Structured Label Inference for Visual UnderstandingCode0
Deep-Temporal LSTM for Daily Living Action Recognition0
Neural Networks for irregularly observed continuous-time Stochastic Processes0
A Unified Method for First and Third Person Action Recognition0
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video ClassificationCode0
Learning Spatio-Temporal Representation with Pseudo-3D Residual NetworksCode1
Attention Clusters: Purely Attention Based Local Feature Integration for Video ClassificationCode0
Appearance-and-Relation Networks for Video ClassificationCode0
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video ClassificationCode1
Non-local Neural NetworksCode1
Attend and Interact: Higher-Order Object Interactions for Video Understanding0
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification0
End-to-End Video Classification with Knowledge Graphs0
Convolutional Drift Networks for Video Classification0
Multi-modal Aggregation for Video Classification0
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor0
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API0
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification0
UTS submission to Google YouTube-8M Challenge 2017Code0
Large-scale Video Classification guided by Batch Normalized LSTM Translator0
Hierarchical Deep Recurrent Architecture for Video UnderstandingCode0
A spatiotemporal model with visual attention for video classification0
Tensor-Train Recurrent Neural Networks for Video ClassificationCode0
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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