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How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
IEEE

IRSRMamba: Infrared Image Super-Resolution via Mamba-Based Wavelet Transform Feature Modulation Model

Abstract: Infrared image super-resolution (IRSR) is challenging due to weak structures and textures. While Mamba-based state-space models (SSMs) efficiently model long-range dependencies, their ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

Efficient Object Detection in Large-Scale Remote Sensing Images via Situation-Aware Model

Abstract: With the continuous improvement of high-resolution remote-sensing image-acquisition technologies, image quality and resolution are constantly improved, which greatly promotes the development ...
GitHub

LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

LampMark is trained using CelebA-HQ and tested on CelebA-HQ and LFW. We do not own the datasets, and they can be downloaded from the official webpages. After splitting the image data following the ...