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Found 7 papers, 4 papers with code
Image Collation: Matching illustrations in manuscripts
For an historian, the first step in studying their evolution in a corpus of similar manuscripts is to identify which ones correspond to each other.
Boosting Co-teaching with Compression Regularization for Label Noise
On Clothing1M, our approach obtains 74. 9% accuracy which is slightly better than that of DivideMix.
Ranked #1 on
Learning with noisy labels
on ANIMAL
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
The evidence lower bound of the marginal log-likelihood of empirical Bayes decomposes as a sum of local KL divergences between the variational posterior and the true posterior on the query set of each task.
RANSAC-Flow: generic two-stage image alignment
Coarse alignment is performed using RANSAC on off-the-shelf deep features.
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Historical watermark recognition is a highly practical, yet unsolved challenge for archivists and historians.
Marginalized Average Attentional Network for Weakly-Supervised Learning
The MAAN employs a novel marginalized average aggregation (MAA) module and learns a set of latent discriminative probabilities in an end-to-end fashion.
Weakly Supervised Action Localization
Weakly-supervised Temporal Action Localization
+1
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
Our goal in this paper is to discover near duplicate patterns in large collections of artworks.
