HIGHLIGHTS
- who: Tech Science Press et al. from the Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, OR, USA have published the research work: Robust Counting in Overcrowded Scenes Using Batch-Free Normalized Deep, in the Journal: (JOURNAL)
- what: The authors demonstrate the experimental assessment of the proposed network utilizing several metrics and parameters, including Mean Absolute Error (MAE), Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index Measure (SSIM).
- how: To address . . .
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