Abstract: Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction ...
Dyah (pronounced Dee-yah) is a Senior Author at Collider, responsible for both writing and transcription duties. She joined the website in 2022 as a Resource Writer before stepping into her current ...
Abstract: Convolutional neural networks (CNNs) are computationally demanding due to expensive Multiply-ACcumulate (MAC) operations. Emerging neural network models, such as AdderNet, exploit efficient ...
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