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Found 4 papers, 3 papers with code
Win-Fail Action Recognition
We introduce a first of its kind paired win-fail action understanding dataset with samples from the following domains: "General Stunts," "Internet Wins-Fails," "Trick Shots," and "Party Games."
Ranked #1 on
Action Recognition
on Win-Fail Action Understanding
Piano Skills Assessment
Can a computer determine a piano player's skill level?
Ranked #1 on
Skills Assessment
on Multimodal PISA
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
The hallucination task is treated as an auxiliary task, which can be used with any other action related task in a multitask learning setting.
Ranked #5 on
Scene Recognition
on YUP++
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features
Although recent advances in regional Convolutional Neural Networks (CNNs) enable them to outperform conventional techniques on standard object detection and classification tasks, their response time is still slow for real-time performance.
