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Binarization

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Showing 351–400 of 433 papers

TitleStatusHype
Towards the first adversarially robust neural network model on MNISTCode0
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference—0
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication—0
Efficient end-to-end learning for quantizable representationsCode0
Discrete Factorization Machines for Fast Feature-based RecommendationCode0
Faster Shift-Reduce Constituent Parsing with a Non-Binary, Bottom-Up Strategy—0
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression—0
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and MemoryCode0
Distribution-Aware Binarization of Neural Networks for Sketch RecognitionCode0
B-DCGAN:Evaluation of Binarized DCGAN for FPGACode0
Near-lossless Binarization of Word EmbeddingsCode0
Local Binary Pattern Networks—0
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence—0
Loss-aware Weight Quantization of Deep NetworksCode0
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder—0
PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarizationCode0
Negative Binomial Matrix Factorization for Recommender Systems—0
ResBinNet: Residual Binary Neural Network—0
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing—0
Compact Hash Code Learning with Binary Deep Neural Network—0
ReBNet: Residual Binarized Neural NetworkCode0
Hardware design for binarization and thinning of fingerprint images—0
Flexible Network Binarization with Layer-wise Priority—0
Automatic Document Image Binarization using Bayesian Optimization—0
Performance Guaranteed Network Acceleration via High-Order Residual Quantization—0
Document Image Binarization with Fully Convolutional Neural Networks—0
Text Recognition in Scene Image and Video Frame using Color Channel Selection—0
Model compression as constrained optimization, with application to neural nets. Part II: quantizationCode0
Adaptive Binarization for Weakly Supervised Affordance Segmentation—0
Binary Coding for Partial Action Analysis With Limited Observation Ratios—0
Learning Deep Binary Descriptor With Multi-Quantization—0
A selectional auto-encoder approach for document image binarizationCode0
SEP-Nets: Small and Effective Pattern Networks—0
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival DocumentsCode0
Learning Convolutional Networks for Content-weighted Image CompressionCode0
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited ResourcesCode0
3D Cell Nuclei Segmentation with Balanced Graph Partitioning—0
HashNet: Deep Learning to Hash by ContinuationCode0
Diversification Methods for Zero-One Optimization—0
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes—0
Binary Distance Transform to Improve Feature Extraction—0
Deep Residual Hashing—0
Loss-aware Binarization of Deep NetworksCode0
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts—0
Assessing Threat of Adversarial Examples on Deep Neural Networks—0
Redefining Binarization and the Visual Archetype—0
Robust Regression For Image Binarization Under Heavy Noises and Nonuniform Background—0
Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform—0
Recurrent Neural Networks With Limited Numerical PrecisionCode0
Equivalences between Ranked and Unranked Weighted Tree Automata via Binarization—0
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