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A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, and texture.
Deep Learning Approaches on Image Captioning: A Review
Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images.
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
Experimental results illustrate that the proposed approach significantly surpasses existing methods in terms of Dice similarity and Absolute Volume Difference while the proposed method use just one modality (FLAIR) to segment the lesions.
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