Wildlife imaging shows that AI models aren't as smart as we think

Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ...
IEEE

BAN: A Boundary-Aware Network Based on KAN for Robust Hyperspectral Image Classification Against Adversarial Attacks

Abstract: Deep neural networks (DNNs) have achieved significant advancements in hyperspectral image (HSI) classification, enabling critical applications in environmental monitoring, medical imaging, ...
IEEE

Rethinking Image Histogram Matching for Image Classification

Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...
Journal of Medical Internet Research

Interventions That Use Highly Visual Social Media Platforms to Tackle Unhealthy Body Image in Adolescents and Young Adults: Systematic Review of Randomized Controlled Trials ...

Stimulus-based interventions using content with a positive body image or that did not focus on appearance were also identified, achieving moderate effects (ηp²<.07), as well as combined approaches ...