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A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey
Our extensive empirical study can act as a guideline for the industrial community to make an informed choice on the existing networks.
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
Convolutional Neural Networks (CNNs), architectures consisting of convolutional layers, have been the standard choice in vision tasks.
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
We highlight that there is a need to rethink the design and evaluation of CNNs to alleviate the issue of research bias and carbon emissions.
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