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RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. (arXiv:2204.01719v1 [eess.IV])
April 6, 2022, 1:10 a.m. | Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha
cs.CV updates on arXiv.org arxiv.org
Modern applications such as self-driving cars and drones rely heavily upon
robust object detection techniques. However, weather corruptions can hinder the
object detectability and pose a serious threat to their navigation and
reliability. Thus, there is a need for efficient denoising, deraining, and
restoration techniques. Generative adversarial networks and transformers have
been widely adopted for image restoration. However, the training of these
methods is often unstable and time-consuming. Furthermore, when used for object
detection (OD), the output images generated by …
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