The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...
Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...
Abstract: Image restoration is the task of recovering a clean image from a degraded version. In most cases, the degradation is spatially varying, and it requires the restoration network to both ...
Automatic image captioning is the task of producing a natural-language utterance (usually a sentence) that correctly reflects the visual content of an image. Up to this point, the resource most used ...
Intracoronary optical coherence tomography (OCT) can identify changes following drug/device treatment and high-risk plaques, but analysis requires expert clinician or core laboratory interpretation, ...
Abstract: In agricultural robotics, the integration of multi-spectral image processing and deep learning (DL) has become the state-of-the-art (SOTA) in crop monitoring, yield estimation, and efficient ...
The Composed Image Retrieval (CIR) task, a fusion of image and text, has always been an intriguing challenge for AI researchers. Traditional CIR methods require expensive triplets of query image, ...
Correspondence to Professor Haotian Lin, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China; linht5{at}mail.sysu.edu.cn; Mrs Lanqin Zhao; zhaolq7{at}mail.sysu.edu.cn Background/aims ...
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