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Logo Detection with no Priors
In recent years, top referred methods on object detection like R-CNN have implemented this task as a combination of proposal region …
Weakly Supervised Underwater Fish Segmentation Using Affinity LCFCN
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting …
Estimating Carbon Emissions of Artificial Intelligence [Opinion]
The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development …
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental …
Extending the Spatial Scale of Land Use Regression Models for Ambient Ultrafine Particles using Satellite Images and Deep Convolutional Neural Networks
We paired existing land use regression (LUR) models for ambient ultrafine particles in Montreal and Toronto, Canada with satellite …
Integrating Vision and Language in Social Networks for Identifying Visual Patterns of Personality Traits
Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of …
Mass spectra alignment using virtual lock-masses
Mass spectrometry is a valued method to evaluate the metabolomics content of a biological sample. The recent advent of rapid ionization …
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is …
Interpretable genotype-to-phenotype classifiers with performance guarantees
Understanding the relationship between the genome of a cell and its phenotype is a central problem in precision medicine. Nonetheless, …