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In the future, we plan to optimise these models further and apply them to new tasks, such as zero-shot learning and self-supervised learning.
Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in autonomous Computer Vision applications such as Robot Navigation, Self-driving Vehicles, Sports Analytics and Virtual Reality. Locating objects is done mostly with bounding boxes. Instance segmentation masks and key points are…
The post Getting Started With Object Detection Using TensorFlow appeared first on Analytics India Magazine.
ResNeSt architecture combines the channel-wise attention with multi-path representation into a single unified Split-Attention block.
The post Guide to ResNeSt: A Better ResNet with the Same Costs appeared first on Analytics India Magazine.