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Collecting fully annotated image datasets is challenging and expensive. Many types of weak supervision have been explored: weak manual annotations, web search results, temporal continuity, ambient sound and others. We focus on one particular unexplored mode: visual questions that are asked about images. The key observation that inspires our work is that the question itself provides useful information...
A new approach in spatial domain is presented for the enhancement of color images using an Adaptive Bacterial Foraging Algorithm (ABFA). The image may be classified as under-exposed or over-exposed depending upon the value of exposure. A new objective function is formulated which makes use of the fuzzy entropy. This objective function is optimized using ABFA which allows the step-size of the bacterial...
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