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
Multi-Modal Video Feature Extraction for Popularity Prediction0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction0
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video ClassificationCode0
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot LearningCode0
Discrepancy-Aware Attention Network for Enhanced Audio-Visual Zero-Shot Learning0
Gramian Multimodal Representation Learning and AlignmentCode2
Context-Aware Detection of Mixed Critical Events using Video Classification0
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction0
Efficient Audio-Visual Fusion for Video Classification0
AM Flow: Adapters for Temporal Processing in Action Recognition0
Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks0
Video Token Merging for Long-form Video Understanding0
Distributed Intelligent Video Surveillance for Early Armed Robbery Detection based on Deep LearningCode0
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification0
TikGuard: A Deep Learning Transformer-Based Solution for Detecting Unsuitable TikTok Content for Kids0
Benchmarking Edge AI Platforms for High-Performance ML Inference0
Pushing the boundaries of event subsampling in event-based video classification using CNNsCode0
Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search SpaceCode0
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action RecognitionCode0
HERMES: temporal-coHERent long-forM understanding with Episodes and SemanticsCode1
Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification0
Query-Efficient Video Adversarial Attack with Stylized Logo0
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional SpacesCode0
Show:102550
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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