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Found 5 papers, 1 papers with code
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing
Furthermore, we introduce a novel metric that allows us to assess whether the generated captions meet our requirements (i. e., subject, predicate, object, and product name) and describe a series of experiments on caption quality and how to address annotator disagreements for the image ratings with an approach called soft targets.
Mining Automatically Estimated Poses from Video Recordings of Top Athletes
Human pose detection systems based on state-of-the-art DNNs are on the go to be extended, adapted and re-trained to fit the application domain of specific sports.
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming
Our main contributions are threefold: (a) We apply and evaluate a fine-tuned Convolutional Pose Machine architecture as a baseline in our very challenging aquatic environment and discuss its error modes, (b) we propose an extension to input swimming style information into the fully convolutional architecture and (c) modify the architecture for continuous pose estimation in videos.
Improving Small Object Proposals for Company Logo Detection
Many modern approaches for object detection are two-staged pipelines.
Key-Pose Prediction in Cyclic Human Motion
In this paper we study the problem of estimating innercyclic time intervals within repetitive motion sequences of top-class swimmers in a swimming channel.
