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HDIB1M -- Handwritten Document Image Binarization 1 Million Dataset

27 Jan 2021

To solve this problem, we propose HDIB1M - a handwritten document image binarization dataset of 1M images.

BINARIZATION

Binary Graph Neural Networks

31 Dec 2020

In this paper, we present and evaluate different strategies for the binarization of graph neural networks.

BINARIZATION REPRESENTATION LEARNING

BinaryBERT: Pushing the Limit of BERT Quantization

31 Dec 2020

Therefore, we propose ternary weight splitting, which initializes the binary model by equivalent splitting from a half-sized ternary network.

BINARIZATION MODEL COMPRESSION QUANTIZATION

Deep Hashing for Secure Multimodal Biometrics

29 Dec 2020

The efficacy of the proposed approach is shown using a multimodal database of face and iris and it is observed that the matching performance is improved due to the fusion of multiple biometrics.

BINARIZATION IMAGE RETRIEVAL

Exact Reduction of Huge Action Spaces in General Reinforcement Learning

18 Dec 2020

In this work we show how action-binarization in the non-MDP case can significantly improve Extreme State Aggregation (ESA) bounds.

BINARIZATION GENERAL REINFORCEMENT LEARNING PROTEIN FOLDING STARCRAFT

Unsupervised Neural Domain Adaptation for Document Image Binarization

2 Dec 2020

These techniques take advantage of the knowledge learned in one domain, for which labeled data are available, to apply it to other domains for which there are no labeled data.

BINARIZATION DOCUMENT BINARIZATION DOMAIN ADAPTATION

Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution

2 Dec 2020

We also show that adjusting the threshold values of binary activation functions results in the unbalanced distribution of the binary activation, which increases the accuracy of BNN models.

BINARIZATION

Saliency-based segmentation of dermoscopic images using color information

26 Nov 2020

Skin lesion segmentation is one of the crucial steps for an efficient non-invasive computer-aided early diagnosis of melanoma.

BINARIZATION LESION SEGMENTATION

SoftSeg: Advantages of soft versus binary training for image segmentation

18 Nov 2020

SoftSeg produces consistent soft predictions at tissues' interfaces and shows an increased sensitivity for small objects.

BINARIZATION BRAIN TUMOR SEGMENTATION DATA AUGMENTATION TUMOR SEGMENTATION