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 150 of 455 papers

TitleStatusHype
Perception Encoder: The best visual embeddings are not at the output of the networkCode8
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and ResolutionCode6
A Survey on Visual MambaCode4
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
Revisiting Classifier: Transferring Vision-Language Models for Video RecognitionCode2
X3D: Expanding Architectures for Efficient Video RecognitionCode2
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsCode2
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?Code2
Video Swin TransformerCode2
UniFormer: Unifying Convolution and Self-attention for Visual RecognitionCode2
Gramian Multimodal Representation Learning and AlignmentCode2
Temporal Segment Networks for Action Recognition in VideosCode2
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learningCode2
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
Is Space-Time Attention All You Need for Video Understanding?Code2
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
Long Movie Clip Classification with State-Space Video ModelsCode1
Motion-Excited Sampler: Video Adversarial Attack with Sparked PriorCode1
Learning Spatio-Temporal Representation with Pseudo-3D Residual NetworksCode1
Large-Scale Video Classification with Convolutional Neural NetworksCode1
Learning To Recognize Procedural Activities with Distant SupervisionCode1
MotionSqueeze: Neural Motion Feature Learning for Video UnderstandingCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound VideosCode1
Active Contrastive Learning of Audio-Visual Video RepresentationsCode1
Learning Implicit Temporal Alignment for Few-shot Video ClassificationCode1
A Closer Look at Few-Shot Video Classification: A New Baseline and BenchmarkCode1
A Multigrid Method for Efficiently Training Video ModelsCode1
Making a Case for 3D Convolutions for Object Segmentation in VideosCode1
MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionCode1
Large Scale Holistic Video UnderstandingCode1
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal AlignmentsCode1
Generalized Few-Shot Video Classification with Video Retrieval and Feature GenerationCode1
A Unified Taxonomy and Multimodal Dataset for Events in Invasion GamesCode1
Efficient Movie Scene Detection using State-Space TransformersCode1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksCode1
Deep Temporal Linear Encoding NetworksCode1
CT-Net: Channel Tensorization Network for Video ClassificationCode1
Convex Combination Consistency between Neighbors for Weakly-supervised Action LocalizationCode1
Approximated Bilinear Modules for Temporal ModelingCode1
A Spatio-temporal Attention-based Model for Infant Movement Assessment from VideosCode1
Exploring Fine-Grained Audiovisual Categorization with the SSW60 DatasetCode1
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion RecognitionCode1
HateMM: A Multi-Modal Dataset for Hate Video ClassificationCode1
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Compact Generalized Non-local NetworkCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
Alignment-Uniformity aware Representation Learning for Zero-shot Video ClassificationCode1
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video ClassificationCode1
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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