SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

Showing 10261050 of 1149 papers

TitleStatusHype
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain0
Cross-Class Relevance Learning for Temporal Concept Localization0
Multi-attention Networks for Temporal Localization of Video-level LabelsCode0
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingCode0
Comprehensive Video Understanding: Video summarization with content-based video recommender design0
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept LocalizationCode0
KnowIT VQA: Answering Knowledge-Based Questions about Videos0
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection0
Tiny Video NetworksCode0
OmniTrack: Real-time detection and tracking of objects, text and logos in video0
CATER: A diagnostic dataset for Compositional Actions and TEmporal ReasoningCode1
ViP: Video Platform for PyTorchCode0
A SPIKING SEQUENTIAL MODEL: RECURRENT LEAKY INTEGRATE-AND-FIRE0
Question Answering is a Format; When is it Useful?0
Zero-Shot Action Recognition in Videos: A Survey0
Gaussian Temporal Awareness Networks for Action LocalizationCode0
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling0
Localizing Unseen Activities in Video via Image Query0
UniDual: A Unified Model for Image and Video Understanding0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network0
Creative Flow+ DatasetCode0
Audio Caption in a Car Setting with a Sentence-Level LossCode0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video ArchitecturesCode0
Exploring Temporal Information for Improved Video UnderstandingCode0
Lightweight Network Architecture for Real-Time Action RecognitionCode1
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