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 201225 of 455 papers

TitleStatusHype
Token Shift Transformer for Video ClassificationCode1
Temporal Alignment Prediction for Few-Shot Video Classification0
Fine-Grained AutoAugmentation for Multi-Label Classification0
Aligning Correlation Information for Domain Adaptation in Action Recognition0
Attention Bottlenecks for Multimodal FusionCode0
When Video Classification Meets Incremental Classes0
Video Swin TransformerCode2
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video ClassificationCode0
Graph-Based High-Order Relation Modeling for Long-Term Action Recognition0
Out-of-Distribution Detection Using Union of 1-Dimensional SubspacesCode1
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
CT-Net: Channel Tensorization Network for Video ClassificationCode1
A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP0
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation0
A Spatio-temporal Attention-based Model for Infant Movement Assessment from VideosCode1
IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture0
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Learning Implicit Temporal Alignment for Few-shot Video ClassificationCode1
VidTr: Video Transformer Without Convolutions0
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study0
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories0
Classifying Video based on Automatic Content Detection Overview0
ViViT: A Video Vision TransformerCode1
Busy-Quiet Video Disentangling for Video ClassificationCode1
Revisiting ResNets: Improved Training and Scaling StrategiesCode1
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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