Deep Layer Aggregation - arXiv

and ResNeXt [41] for large-scale image classification, fine-grained recognition, semantic segmentation, and boundary detection. Our results show improvements in performance, parameter count, and memory usage over baseline ResNet, ResNeXT, and DenseNet architectures. DLA achieve state-of-the-art results among compact models for classification.

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