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Found 6 papers, 2 papers with code
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
Semantic segmentation is a task that traditionally requires a large dataset of pixel-level ground truth labels, which is time-consuming and expensive to obtain.
Ranked #25 on
Semantic Segmentation
on PASCAL VOC 2012 val
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
Cloth in the Wind: A Case Study of Physical Measurement through Simulation
For many of the physical phenomena around us, we have developed sophisticated models explaining their behavior.
Go with the Flow: Perception-refined Physics Simulation
Nevertheless, inferring specifics from visual observations is challenging due to the high number of causally underlying physical parameters -- including material properties and external forces.
Subitizing with Variational Autoencoders
Numerosity, the number of objects in a set, is a basic property of a given visual scene.
Repetition Estimation
Estimating visual repetition from realistic video is challenging as periodic motion is rarely perfectly static and stationary.
Real-World Repetition Estimation by Div, Grad and Curl
We consider the problem of estimating repetition in video, such as performing push-ups, cutting a melon or playing violin.
