Abstract: This paper proposes an adaptive auxiliary task learning-based approach for transport object counting problems such as humans and vehicles. These problems are essential in many real-world ...
Kathryn Jones began to visit Washington's museums in January and didn't plan to make it her full-time pursuit, but it become ...
Abstract: The variability in altitudes, geographical background, and weather conditions across datasets degrades deep neural network (DNN) object counting performance. Unsupervised domain adaptation ...
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