MultiBanana-Bench comprises 32 tasks designed to evaluate how well image generation models can faithfully incorporate information from multiple reference images. We report evaluation scores using ...
Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
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