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Found 8 papers, 0 papers with code
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.
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
However, this requires the knowledge of the distributions of the activations of aggregation layers.
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.
Deep Architectures and Ensembles for Semantic Video Classification
This work addresses the problem of accurate semantic labelling of short videos.
Cultivating DNN Diversity for Large Scale Video Labelling
We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge.
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
To achieve this, we propose a novel Siamese network.
Improved Hamming Distance Search Using Variable Length Substrings
To this end, we propose a novel, unsupervised approach to thresholded search in Hamming space, supporting long codes (e. g. 512-bits) with a wide-range of Hamming distance radii.
Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals
This paper tackles the problem of spotting a set of signs occuring in videos with sequences of signs.
