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Found 5 papers, 1 papers with code
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
Similarity search is a crucial task where spatial features decide an important output.
Eternal Sunshine of the Mechanical Mind: The Irreconcilability of Machine Learning and the Right to be Forgotten
As we keep rapidly advancing toward an era where artificial intelligence is a constant and normative experience for most of us, we must also be aware of what this vision and this progress entail.
Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder
Our proposed model is implemented in a simple yet effective approach, which makes it easier for applying in real life.
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
Our experiments demonstrate the effectiveness and efficiency of the proposed method across different deep neural network architectures while preserving image integrity as much and perturbation rate as less as possible.
Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network
Our research involves the development of a Deep Convolutional Neural Network (DCNN), which we train using over a thousand outdoor images taken and annotated.
