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Found 6 papers, 2 papers with code
Propensity-score matching analysis in COVID-19-related studies: a method and quality systematic review
Conclusions: The reporting quality of the PSM analysis is suboptimal in some COVID-19 epidemiological studies.
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
Object detection is the key technique to a number of Computer Vision applications, but it often requires large amounts of annotated data to achieve decent results.
Generative Adversarial Network
Image-to-Image Translation
+4
TDT: Teaching Detectors to Track without Fully Annotated Videos
However, their success depends on the availability of videos that are fully annotated with tracking data, which is expensive and hard to obtain.
Towards a Semantic Perceptual Image Metric
We present a full reference, perceptual image metric based on VGG-16, an artificial neural network trained on object classification.
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video clips, where actions are localized in space and time, resulting in 1. 58M action labels with multiple labels per person occurring frequently.
Ranked #6 on
Action Detection
on UCF101-24
End-to-End Interpretation of the French Street Name Signs Dataset
We introduce the French Street Name Signs (FSNS) Dataset consisting of more than a million images of street name signs cropped from Google Street View images of France.
Ranked #3 on
Optical Character Recognition (OCR)
on FSNS - Test
