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Multi-feature scene inspired classified/Non-classified Datasets.

Multi-feature scene inspired classified/Non-classified Datasets.

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Fig. 1 Real world environment (Human Vs Machine).
Fig. 2 : Multi-feature scene inspired classified/Non-classified Datasets.
Fig. 3 : Multi-feature biologically inspired scene classification model...
Fig. 4 Features produce bio-inspired framework.
+2 Fig. 5 Active vision theoretical framework.
Unsupervised Few-shot Object Recognition by Self-Supervised Training
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  • Apr 2022
Humans can easily spot people, objects, scenes, and visual details in photographs and videos. The main goal is to make a computer capable of what humans can do with learning a level of understanding of actual image/video content. Object recognition is one of the computer vision techniques for identifying objects in images or videos, and it is a key...
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... attention shape plays an essential role within the process of visible belief. By making use of the local perceived visual facts and utilizing the limited computing sources to recognition at the maximum critical information, which makes the technique of visual belief with real-time and maybe adapt to the perception of the complex surroundings (as in Figure 2) [8]. ...
Context 2
... education batches include the remaining photographs in random order; however, some may also comprise more pics from one class than another. The sample images of The CIFAR-10 dataset are depicted in Figure 2. ...

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