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 401425 of 455 papers

TitleStatusHype
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video ClassificationCode0
Aggregating Frame-level Features for Large-Scale Video Classification0
The YouTube-8M Kaggle Competition: Challenges and MethodsCode0
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform0
Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M datasetCode0
Multiresolution Match Kernels for Gesture Video Classification0
Learnable pooling with Context Gating for video classificationCode0
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and TextCode0
The Monkeytyping Solution to the YouTube-8M Video Understanding ChallengeCode0
Hierarchical Label Inference for Video Classification0
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks0
Temporal Segment Networks for Action Recognition in VideosCode2
ActionVLAD: Learning spatio-temporal aggregation for action classification0
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity RecognitionCode0
Saliency-guided video classification via adaptively weighted learning0
Graph-based Isometry Invariant Representation Learning0
Deep Motion Features for Visual Tracking0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention0
Deep Temporal Linear Encoding NetworksCode1
Fast Video Classification via Adaptive Cascading of Deep Models0
YouTube-8M: A Large-Scale Video Classification BenchmarkCode1
Deep Learning for Video Classification and CaptioningCode0
DAiSEE: Towards User Engagement Recognition in the Wild0
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification0
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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