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Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
Unravelling protein distributions within individual cells is key to understanding their function and state and indispensable to developing new treatments.
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval
We propose a novel CNN architecture called ACTNET for robust instance image retrieval from large-scale datasets.
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
On image retrieval datasets Holidays, Oxford and MPEG, the REMAP descriptor achieves mAP of 95. 5%, 91. 5%, and 80. 1% respectively, outperforming any results published to date.
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