SOTAVerified

Activity Recognition In Videos

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–18 of 18 papers

TitleStatusHype
Dual-path Adaptation from Image to Video TransformersCode1
TorMentor: Deterministic dynamic-path, data augmentations with fractalsCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Very Deep Convolutional Networks for Large-Scale Image RecognitionCode1
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in VideosCode0
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition—0
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos—0
Long Term Object Detection and Tracking in Collaborative Learning Environments—0
Human Interaction Recognition Framework based on Interacting Body Part Attention—0
Bubblenet: A Disperse Recurrent Structure To Recognize Activities—0
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction—0
Large-scale weakly-supervised pre-training for video action recognitionCode0
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos—0
Representation Flow for Action RecognitionCode0
Learning Latent Sub-events in Activity Videos Using Temporal Attention FiltersCode0
Action Recognition with Trajectory-Pooled Deep-Convolutional DescriptorsCode0
A new network-based algorithm for human activity recognition in video—0
Pooled Motion Features for First-Person VideosCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VTFSAAccuracy98.55—Unverified