Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost

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Dual Knowledge Distillation on Multiview Pseudo Labels for Unsupervised Person Re-Identification

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Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis

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Analogical Learning-Based Few-Shot Class-Incremental Learning

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Exemplar SVMs as visual feature encoders

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Similarity Learning of Manifold Data

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Compositional Few-Shot Recognition with Primitive Discovery and Enhancing

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Multi-Scale Mahalanobis Kernel-Based Support Vector Machine for Classification of High-Resolution Remote Sensing Images

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Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories

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Boosting Deep Open World Recognition by Clustering

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Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition

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Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification

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Online Metric-Weighted Linear Representations for Robust Visual Tracking

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Supervised LogEuclidean Metric Learning for Symmetric Positive Definite MatricesPreprint

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Robust and Effective Metric Learning Using Capped Trace Norm

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Class incremental learning for wildlife biodiversity monitoring in camera trap images

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Using fuzzy least squares support vector machine with metric learning for object tracking

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Food Image Recognition by Personalized Classifier

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Riemannian Similarity Learning

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Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval

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Shrinkage Expansion Adaptive Metric Learning

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Intelligent Bearing Fault Diagnosis Based on Open Set Convolutional Neural Network

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Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes

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Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers

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Few-Shot Microscopy Image Cell Segmentation

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New Robust Metric Learning Model Using Maximum Correntropy Criterion

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Generalized Many-Way Few-Shot Video Classification

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Cross-Modal Cognitive Consensus Guided Audio–Visual Segmentation

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Continual prune-and-select: class-incremental learning with specialized subnetworks

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Learning Joint Feature Adaptation for Zero-Shot RecognitionPreprint

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Minimax Active LearningPreprint

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Transductive Visual-Semantic Embedding for Zero-shot Learning

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Fighting fire with fire: A spatial–frequency ensemble relation network with generative adversarial learning for adversarial image classification

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Zero-Shot Object Recognition System based on Topic ModelPreprint

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Multi‐similarity based hyperrelation network for few‐shot segmentation

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Towards Accurate Open-Set Recognition via Background-Class Regularization

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Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning

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A Convex Model for Support Vector Distance Metric Learning

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Feature Learning for the Image Retrieval Task

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Pedestrian recognition in multi-camera networks using multilevel important salient feature and multicategory incremental learning

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Towards Training Recurrent Neural Networks for Lifelong LearningPreprint

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Improved Diversity-Promoting Collaborative Metric Learning for Recommendation

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Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks

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A study on zero-shot learning from semantic viewpoint

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Real-time hand rubbing quality estimation using deep learning enhanced by separation index and feature-based confidence metric

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A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)Preprint

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An Attention-based Deep Relevance Model for Few-shot Document Filtering

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Transfer Incremental Learning Using Data Augmentation

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Extreme Value Theory for Open Set Classification -- GPD and GEV ClassifiersPreprint

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Self-Supervised Features Improve Open-World LearningPreprint

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On Continually Tracing Origins of LLM-Generated Text and Its Application in Detecting Cheating in Student Coursework

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Zero-Shot Object Recognition System Based on Topic Model

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Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification

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Modelling Visit Similarity Using Click-Stream Data: A Supervised Approach

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Learning Structured Semantic Embeddings for Visual RecognitionPreprint

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Towards operational phytoplankton recognition with automated high-throughput imaging and compact convolutional neural networksPreprint

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Deep Meta-Learning With 1D-CNNs for Surface Deterioration Recognition of Overhead Conductors of Electricity Grid

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Large-Scale Multi-modal Distance Metric Learning with Application to Content-Based Information Retrieval and Image Classification

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Robust Re-weighting Prototypical Networks for Few-Shot Classification

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Anti-Collapse Loss for Deep Metric Learning

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Incremental Learning of Object Detector with Limited Training Data

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GFR: Generic feature representations for class incremental learning

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Mining Latent Attributes From Click-Through Logs for Image Recognition

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A Broad Neural Network Structure for Class Incremental Learning

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FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition

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Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline

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2D Motif Basis Applied to the Classification of Digital Images

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Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification

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Object Recognition by Stochastic Metric Learning

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A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison

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Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution

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Expanding Semantic Knowledge for Zero-Shot Graph Embedding

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Graph-based Interpolation of Feature Vectors for Accurate Few-Shot ClassificationPreprint

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Image Annotation by Learning Label-Specific Distance Metrics

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A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and ExperimentsPreprint

Suárez, J. L., García, S., & Herrera, F. (2018) · arXiv (Cornell University) · Cited by 5

Processing and learning deep neural networks on chip

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SE_Resnet14: Design and development of deep learning architecture for kidney microscopy images grading

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Stepwise Deep Feature Transfer Model for Martian Landform Mapping With Small Number of Labeled Samples

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Variance reduction in feature hashing using MLE and control variate method

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Isometric Feature Embedding for Content-Based Image Retrieval

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Distance-based human action recognition using optimized class representations

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Confluence: Speeding Up Iterative Distributed Operations by Key-Dependency-Aware Partitioning

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Geological mapping in the age of artificial intelligence

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Ordinal space projection learning via neighbor classes representation

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Inferring Context from Pixels for Multimodal Image Classification

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Classification of Point Clouds for Indoor Components Using Few Labeled Samples

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A novel approach based on fully connected weighted bipartite graph for zero-shot learning problems

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Contrastive Learning for Cross-Domain Open World Recognition

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Image annotation with incomplete labelling by modelling image specific structured loss

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Revisiting Cross Modal RetrievalPreprint

Nawaz, S., Janjua, M. K., Calefati, A., & Gallo, I. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1807.07364 · Cited by 5

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline

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MPBA: Meta-Predictive Beam Alignment for mmWave Systems With Environmental Variability

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