A video compression-cum-classification network for classification from compressed video streams
Video analytics can achieve increased speed and efficiency by operating directly on the
compressed video format, thereby alleviating the decoding burden on the analytics server …
compressed video format, thereby alleviating the decoding burden on the analytics server …
[HTML][HTML] Optimizing Edge Detection Efficiency with a Grünwald–Letnikov Fractional Network
DE Elgezouli, ABM Alzahrani - Electronics, 2024 - mdpi.com
Edge detection is an essential image processing act that is crucial for many computer vision
applications such as object detection, image segmentation, face recognition, text …
applications such as object detection, image segmentation, face recognition, text …
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
S Francy, R Singh - arXiv preprint arXiv:2409.02134, 2024 - arxiv.org
This work evaluates the compression techniques on ConvNeXt models in image
classification tasks using the CIFAR-10 dataset. Structured pruning, unstructured pruning …
classification tasks using the CIFAR-10 dataset. Structured pruning, unstructured pruning …