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Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images
While object detection is a common problem in computer vision, it is even more challenging when dealing with aerial satellite images.
A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
It is becoming increasingly difficult to keep up with the latest research and findings in the field of image captioning due to the growing amount of knowledge available on the topic.
Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
Image captioning is a task in the field of Artificial Intelligence that merges between computer vision and natural language processing.
Egyptian Sign Language Recognition Using CNN and LSTM
In this work, we are providing applied research with its video-based Egyptian sign language recognition system that serves the local community of deaf people in Egypt, with a moderate and reasonable accuracy.
Lighter Stacked Hourglass Human Pose Estimation
The main focus of their approach is to capture as much information as it can at all possible scales so that a coherent understanding of the local features and full-body location is achieved.
