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 101125 of 455 papers

TitleStatusHype
Malicious or Benign? Towards Effective Content Moderation for Children's VideosCode0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception0
HateMM: A Multi-Modal Dataset for Hate Video ClassificationCode1
Verbs in Action: Improving verb understanding in video-language modelsCode0
SparseFormer: Sparse Visual Recognition via Limited Latent TokensCode1
Vita-CLIP: Video and text adaptive CLIP via Multimodal PromptingCode1
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression0
SELF-VS: Self-supervised Encoding Learning For Video SummarizationCode0
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling0
Selective Structured State-Spaces for Long-Form Video Understanding0
The effectiveness of MAE pre-pretraining for billion-scale pretrainingCode1
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked AutoencodersCode0
Towards Activated Muscle Group Estimation in the WildCode1
Temporal Coherent Test-Time Optimization for Robust Video Classification0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks0
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms0
Reversible Vision TransformersCode1
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style TranslationCode0
Few-Shot Video Classification via Representation Fusion and Promotion Learning0
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos0
Efficient Movie Scene Detection using State-Space TransformersCode1
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners0
Evaluation of Explanation Methods of AI -- CNNs in Image Classification Tasks with Reference-based and No-reference MetricsCode0
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion RecognitionCode1
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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