most citedWhat's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction

15 citations · 15 across the 2 of their papers we have counts for

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2 papers

cs.CV2025

Transformer-Based Neural Network for Transient Detection without Image Subtraction

Adi Inada, Masao Sako, Tatiana Acero-Cuellar +1

We introduce a transformer-based neural network for the accurate classification of real and bogus transient detections in astronomical images. This network advances beyond the conv…

cs.CV2022★ 15 cited

What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction

Tatiana Acero-Cuellar, Federica Bianco, Gregory Dobler +3

We present a study of the potential for Convolutional Neural Networks (CNNs) to enable separation of astrophysical transients from image artifacts, a task known as "real-bogus" cla…