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 2650 of 455 papers

TitleStatusHype
MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor DiagnosisCode1
HateMM: A Multi-Modal Dataset for Hate Video ClassificationCode1
SparseFormer: Sparse Visual Recognition via Limited Latent TokensCode1
Vita-CLIP: Video and text adaptive CLIP via Multimodal PromptingCode1
The effectiveness of MAE pre-pretraining for billion-scale pretrainingCode1
Towards Activated Muscle Group Estimation in the WildCode1
Reversible Vision TransformersCode1
Efficient Movie Scene Detection using State-Space TransformersCode1
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion RecognitionCode1
Overlooked Video Classification in Weakly Supervised Video Anomaly DetectionCode1
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video SurveillanceCode1
SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized ViolenceCode1
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal AlignmentsCode1
Exploring Fine-Grained Audiovisual Categorization with the SSW60 DatasetCode1
Temporal and cross-modal attention for audio-visual zero-shot learningCode1
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound VideosCode1
Convex Combination Consistency between Neighbors for Weakly-supervised Action LocalizationCode1
Attention in Attention: Modeling Context Correlation for Efficient Video ClassificationCode1
Long Movie Clip Classification with State-Space Video ModelsCode1
StyleFool: Fooling Video Classification Systems via Style TransferCode1
Alignment-Uniformity aware Representation Learning for Zero-shot Video ClassificationCode1
Unsupervised Pre-training for Temporal Action Localization TasksCode1
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
Learning To Recognize Procedural Activities with Distant SupervisionCode1
Progressive Video Summarization via Multimodal Self-supervised LearningCode1
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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