Handling label noise in video classification via multiple instance learning
By Thomas K. Leung, Yang Song, John R. Zhang. 2011
51 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Andrew Zisserman
- Cordelia Schmid
- Luc Van Gool
- Ivan Laptev
- Andrea Vedaldi
- Yi Yang
- Trevor Darrell
- Jitendra Malik
In Signal Processing
- Jean-Baptiste Alayrac
- Lucas Smaira
- Antoine Miech
- Ivan Laptev
- Josef Sivic
- Dimitris Samaras
- Tamara L. Berg
- Andrew Zisserman
Citations in the corpus
- End-to-End Learning of Visual Representations From Uncurated Instructional Videos (2019, methodology): “Multiple instance learning methods have been employed in many weakly-supervised video understanding problems including: person recognition in movies using scripts [12, 50, 61], anomaly detection [70], weakly supervised action classification [47, 68] and localization [17, 22, 82], co-reference resolu”
- Two-person interaction detection using body-pose features and multiple instance learning (2012, background): “More examples can be found in the supplementary material.”