Discriminative Metric Learning for Image Representation, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 11, pages 3173 { 3183, 2019. [J-3]Hongfu Liu, Ming Shao, and Yun Fu, Feature Selection with Unsupervised Consensus Guidance, IEEE Trans- Machine learning in computer vision Major progress on discriminative tasks in supervised settings Possible due to vast human-labeled image datasets Collecting ground truth labels for images and video Mechanical Turk remains a major bottleneck Correspondence problems in computer vision 3D scene reconstruction, image alignment
Multiple image stitching. Contribute to etaghavi/image-stitch development by creating an account on GitHub. However deep learning approaches such as single shot detector (SSD) [liu2015] are shown to have superior performance in detecting multiple objects, given a specific scenario like images with...PyTorch is ideal for developing deep learning applications. It is an optimized tensor library and is GPU enabled. It has more than 2500 optimized algorithms which support several applications such as recognizing faces, identifying objects, tracking moving objects, stitching images, and so on.
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