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Study mode:
on
1
Intro
2
Outline
3
Introduction
4
Motivation
5
Video action detection
6
Semi-supervised learning
7
Temporal coherence
8
Temporal gradient
9
Modules walk-through
10
Training objectives
11
Comparison with supervised
12
Comparison with semi-supervised
13
Ablations - break it down
14
Additional data
15
Generalization
16
Conclusion
17
High annotation cost
18
Adaptive Proximity-aware Uncertainty A
19
Overall approach
20
Experiments
21
Comparisons
22
Frame selection methods
23
Qualitative frame selection analysis
24
Analyzing loss formulations
25
Key findings
Description:
Explore spatio-temporal learning from limited labels in this invited talk from the ECCV ATLAS Tutorial. Delve into video action detection, semi-supervised learning techniques, and temporal coherence. Examine the adaptive proximity-aware uncertainty approach and its modules. Analyze training objectives, compare supervised and semi-supervised methods, and investigate ablation studies. Discover frame selection methods, loss formulations, and key findings in experiments. Gain insights into addressing high annotation costs and improving generalization in video understanding tasks.

Spatio-Temporal Learning from Limited Labels for Video Action Detection

University of Central Florida
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