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 226–250 of 455 papers

TitleStatusHype
UniForensics: Face Forgery Detection via General Facial Representation—0
UNIVERSAL MODAL EMBEDDING OF DYNAMICS IN VIDEOS AND ITS APPLICATIONS—0
Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets—0
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation—0
Unsupervised Meta-Learning For Few-Shot Image Classification—0
Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos—0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks—0
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories—0
Video Classification using Semantic Concept Co-occurrences—0
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor—0
Video Contents Understanding using Deep Neural Networks—0
VideoGraph: Recognizing Minutes-Long Human Activities in Videos—0
VideoSSL: Semi-Supervised Learning for Video Classification—0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners—0
Video Token Merging for Long-form Video Understanding—0
Video Understanding as Machine Translation—0
VidTr: Video Transformer Without Convolutions—0
Visual Data Synthesis via GAN for Zero-Shot Video Classification—0
Walk-Steered Convolution for Graph Classification—0
When Video Classification Meets Incremental Classes—0
Where and when to look? Spatial-temporal attention for action recognition in videos—0
DASZL: Dynamic Action Signatures for Zero-shot Learning—0
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators—0
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels—0
Accurate and Efficient Two-Stage Gun Detection in Video—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)95.2—Unverified
2MA-LMMAccuracy (%)93—Unverified
3S5Accuracy (%)90.7—Unverified
4TranS4merAccuracy (%)90.27—Unverified
5D-Sprv.Accuracy (%)89.9—Unverified
6ViS4merAccuracy (%)88.2—Unverified
7GHRMAccuracy (%)75.5—Unverified
8TimeceptionAccuracy (%)71.3—Unverified
9VideoGraphAccuracy (%)69.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)93.5—Unverified
2MA-LMMAccuracy (%)93.2—Unverified
3S5Accuracy (%)90.8—Unverified
4D-Sprv.Accuracy (%)90—Unverified
5TranS4merAccuracy (%)89.3—Unverified
6ViS4merAccuracy (%)88.4—Unverified
7TSNAccuracy (%)73.4—Unverified
#ModelMetricClaimedVerifiedStatus
1VTNAccuracy77.85—Unverified
2I3DAccuracy72.11—Unverified
3ConvLSTMAccuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1DCGN (self-attention graph pooling)Hit@187.7—Unverified
2Hierarchical LSTM with MoEHit@186.8—Unverified
3Mixture-of-2-ExpertsHit@170.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy99.5—Unverified
2CNN+LSTM1:1 Accuracy98—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridmAP38.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Cooperative Ours (3rd-person)Accuracy (%)24.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridTop-177.6—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAccuracy (%)73.95—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy84—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy91—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Label Prototypes Contrastive LearningAUPR88.4—Unverified