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 101150 of 455 papers

TitleStatusHype
Large-Scale Video Classification with Convolutional Neural NetworksCode1
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
Exploring Audio Cues for Enhanced Test-Time Video Model AdaptationCode0
Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification0
Read My Ears! Horse Ear Movement Detection for Equine Affective State AssessmentCode0
TenAd: A Tensor-based Low-rank Black Box Adversarial Attack for Video Classification0
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks0
Spatiotemporal Learning with Context-aware Video Tubelets for Ultrasound Video Analysis0
Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion ModelsCode0
Accurate and Efficient Two-Stage Gun Detection in Video0
Online Meta-learning for AutoML in Real-time (OnMAR)0
Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering0
Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based ContentCode0
BRIDLE: Generalized Self-supervised Learning with QuantizationCode0
Extending Information Bottleneck Attribution to Video SequencesCode0
Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques0
Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature ExtractorCode0
GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video0
Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and Time0
An Empirical Study of Autoregressive Pre-training from Videos0
Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video ClassificationCode0
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets0
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
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
Context-Aware Detection of Mixed Critical Events using Video Classification0
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
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
UniForensics: Face Forgery Detection via General Facial Representation0
LookupViT: Compressing visual information to a limited number of tokens0
Learning Natural Consistency Representation for Face Forgery Video Detection0
Open Vocabulary Multi-Label 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