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Found 6 papers, 4 papers with code
LVLane: Deep Learning for Lane Detection and Classification in Challenging Conditions
Experimental evaluations conducted on the widely-used TuSimple dataset, Caltech Lane dataset, and our LVLane dataset demonstrate the effectiveness of our model in accurately detecting and classifying lanes amidst challenging scenarios.
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality?
Ranked #1 on
Action Recognition
on MTL-AQA
Action Quality Assessment Across Multiple Actions
Can learning to measure the quality of an action help in measuring the quality of other actions?
Ranked #7 on
Action Quality Assessment
on AQA-7
Convolutional Neural Network for Trajectory Prediction
Predicting trajectories of pedestrians is quintessential for autonomous robots which share the same environment with humans.
Learning To Score Olympic Events
Estimating action quality, the process of assigning a "score" to the execution of an action, is crucial in areas such as sports and health care.
Measuring the Quality of Exercises
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP).
