Online Action Detection
18 papers with code • 3 benchmarks • 3 datasets
Online action detection is the task of predicting the action as soon as it happens in a streaming video without access to video frames in the future.
Benchmarks
These leaderboards are used to track progress in Online Action Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
THUMOS14
TVSeries
FineAction
Most implemented papers
OadTR: Online Action Detection with Transformers
wangxiang1230/OadTR
•
•
ICCV 2021
Most recent approaches for online action detection tend to apply Recurrent Neural Network (RNN) to capture long-range temporal structure.
Continual Transformers: Redundancy-Free Attention for Online Inference
lukashedegaard/continual-transformers
•
•
Transformers in their common form are inherently limited to operate on whole token sequences rather than on one token at a time.
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
vividle/online-action-detection
•
•
CVPR 2022
Based on the exemplar-consultation mechanism, the long-term dependencies can be captured by regarding historical frames as exemplars, while the category-level modeling can be achieved by regarding representative frames from a category as exemplars.
Weakly Supervised Online Action Detection for Infant General Movements
Although general movements assessment(GMA) has shown promising results in early CP detection, it is laborious.
Real-time Online Video Detection with Temporal Smoothing Transformers
Streaming video recognition reasons about objects and their actions in every frame of a video.
MiniROAD: Minimal RNN Framework for Online Action Detection
jbistanbul/miniroad
•
•
ICCV 2023
Online Action Detection (OAD) is the task of identifying actions in streaming videos without access to future frames.
E2E-LOAD: End-to-End Long-form Online Action Detection
sqiangcao99/e2e-load
•
•
ICCV 2023
Furthermore, we propose a novel and efficient inference mechanism that accelerates heavy spatial-temporal exploration.
Memory-and-Anticipation Transformer for Online Action Understanding
echo0125/memory-and-anticipation-transformer
•
•
ICCV 2023
Based on this idea, we present Memory-and-Anticipation Transformer (MAT), a memory-anticipation-based approach, to address the online action detection and anticipation tasks.
