NASTaR is a new dataset of 3415 AIS-labeled ship patches from NovaSAR S-band SAR imagery with 23 classes, inshore/offshore splits, and wake annotations, validated via benchmark deep learning models.
Densely connected convolutional networks,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
TVRN combines invertible wavelet-based networks with a surrogate gradient approximator and compression-aware asymmetric design to improve frame-rate rescaling quality under real codecs.
citing papers explorer
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NASTaR: NovaSAR Automated Ship Target Recognition Dataset
NASTaR is a new dataset of 3415 AIS-labeled ship patches from NovaSAR S-band SAR imagery with 23 classes, inshore/offshore splits, and wake annotations, validated via benchmark deep learning models.
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TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
TVRN combines invertible wavelet-based networks with a surrogate gradient approximator and compression-aware asymmetric design to improve frame-rate rescaling quality under real codecs.