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Embedding Learning

3,753 papers

Papers per year

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Papers

Scene Classification With Semantic Fisher Vectors CVPR 2015
Simultaneous Feature Learning and Hash Coding With Deep Neural Networks CVPR 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Deep Correlation for Matching Images and Text CVPR 2015
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015
Fine-Grained Visual Categorization via Multi-Stage Metric Learning CVPR 2015
Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015
Tree Quantization for Large-Scale Similarity Search and Classification CVPR 2015
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors CVPR 2015
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs ICCV 2015
Learning Concept Embeddings With Combined Human-Machine Expertise ICCV 2015
Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015
MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition ICCV 2015
LEWIS: Latent Embeddings for Word Images and their Semantics ICCV 2015
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval ICCV 2015
Alternating Co-Quantization for Cross-Modal Hashing ICCV 2015
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes ICCV 2015
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification ICCV 2015
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction ICCV 2015
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis ICCV 2015
Low Dimensional Explicit Feature Maps ICCV 2015
Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015
An NMF Perspective on Binary Hashing ICCV 2015
Learning Temporal Embeddings for Complex Video Analysis ICCV 2015