Online Action Detection
3개 벤치마크 · 논문 42편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Long Short-Term Transformer for Online Action Detection
Context-Enhanced Memory-Refined Transformer for Online Action Detection
Text-driven Online Action Detection
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Memory-and-Anticipation Transformer for Online Action Understanding
E2E-LOAD: End-to-End Long-form Online Action Detection
Papers
OZ-TAL: Online Zero-Shot Temporal Action Localization
Online Temporal Action Localization (On-TAL) aims to detect the occurrence time and category of actions in untrimmed streaming videos immediately upon their completion. Recent advancements in this field focus on developi…
Temporal Action LocalizationOnline Action DetectionCAKE: Real-time Action Detection via Motion Distillation and Background-aware Contrastive Learning
Online Action Detection (OAD) systems face two primary challenges: high computational cost and insufficient modeling of discriminative temporal dynamics against background motion. Adding optical flow could provides stron…
Online Action DetectionContrastive LearningProbabilistic Temporal Masked Attention for Cross-view Online Action Detection
As a critical task in video sequence classification within computer vision, Online Action Detection (OAD) has garnered significant attention. The sensitivity of mainstream OAD models to varying video viewpoints often ham…
Online Action DetectionContext-Enhanced Memory-Refined Transformer for Online Action Detection
Online Action Detection (OAD) detects actions in streaming videos using past observations. State-of-the-art OAD approaches model past observations and their interactions with an anticipated future. The past is encoded us…
Action DetectionDecoderOnline Action DetectionText-driven Online Action Detection
Detecting actions as they occur is essential for applications like video surveillance, autonomous driving, and human-robot interaction. Known as online action detection, this task requires classifying actions in streamin…
Action DetectionAutonomous DrivingFew-Shot LearningOnline Action DetectionContinual Low-Rank Scaled Dot-product Attention
Transformers are widely used for their ability to capture data relations in sequence processing, with great success for a wide range of static tasks. However, the computational and memory footprint of their main componen…
Action DetectionAudio ClassificationOnline Action Detection