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 401425 of 455 papers

TitleStatusHype
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study0
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition0
Open Vocabulary Multi-Label Video Classification0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network0
Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks0
Overview of Tencent Multi-modal Ads Video Understanding Challenge0
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering0
Pig aggression classification using CNN, Transformers and Recurrent Networks0
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene0
PreViTS: Contrastive Pretraining with Video Tracking Supervision0
Privacy-Preserving Video Classification with Convolutional Neural Networks0
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection0
Query-Efficient Video Adversarial Attack with Stylized Logo0
Recent Trends in 2D Object Detection and Applications in Video Event Recognition0
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation0
Multi-Task Learning of Generalizable Representations for Video Action Recognition0
Revisiting Few-shot Activity Detection with Class Similarity Control0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding0
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification0
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces0
Saliency-guided video classification via adaptively weighted learning0
Show:102550
← PrevPage 17 of 19Next →

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