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

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Large Scale Metric Learning for Distance-Based Image Classification

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Zero-Shot Image Classification via Coupled Discriminative Dictionary Learning

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Semantic Novelty Detection via Relational Reasoning

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Zero-Shot Recognition Enhancement by Distance-Weighted Contextual Inference

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Probabilistic Zero-shot Classification with Semantic RankingsPreprint

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Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content

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P-ODN: Prototype based Open Deep Network for Open Set RecognitionPreprint

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Continual Origin Tracing of LLM-Generated Text

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A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics

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Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge

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GILE: A Generalized Input-Label Embedding for Text ClassificationPreprint

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Learning Class-Transductive Intent Representations for Zero-shot Intent DetectionPreprint

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Variational Disentangle Zero-Shot Learning

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High-Performance Deep Learning for Large-Scale Image Recognition: A GPU-Accelerated Convolutional Approach

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Sample‐Core Class Incremental Learning for Radar Target Recognition

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Metric Learning with Biometric Applications

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Research on Image Classification of Marine Pollutants with Convolution Neural Network

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Research on Artificial Intelligence Technology in Computer Network Technology

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Learning Visually Aligned Semantic Graph for Cross-Modal Manifold Matching

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An algorithm for indentation image classification and detection based on deep learning

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Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

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A Few-shot Classification Method with Coordinate Attention and Cross Attention

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Mapping the Unknown: A New Approach to Open-World Video Recognition

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Summarizing Nursery School Surveillance Videos by Distance Metric Learning

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A Secure Scalable Life-Long Learning Based on Multiagent Framework Using Cloud Computing

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Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning

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Discriminative Latent Attribute Autoencoder for Zero-Shot Learning

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Zero-Shot Learning

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Context Adaptive Metric Model for Meta-learning

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Multiple Kernel Geometric Mean Metric Learning for Heterogeneous Data

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SDBOSR: Separable Decision Boundary based Open Set Recognition for Manufacturing Equipment Fault Classification

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Research on Application of Artificial Intelligence Technology in Education

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Learning Disentangled Intent Representations for Zero-shot Intent Detection.Preprint

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Triangular similarity metric learning : A siamese architecture approach

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Online Multikernel Learning Based on a Triple-Norm Regularizer for Semantic Image Classification

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Nearest Class Vector Classification for Large-Scale Learning Problems

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The importance of spatial information on object recognition

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Bayesian Neighbourhood Component AnalysisPreprint

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ODN: Opening the Deep Network for Open-set Action RecognitionPreprint

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Decoupling Features and Coordinates for Few-shot RGB RelocalizationPreprint

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Adversarial Metric Learning with Naive Similarity Discriminator

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Arcface Based Open Set Recognition for Industrial Fault

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Knowledge Helps Pretrained Model: An Ensemble Model of Knowledge Model and CLIP for Zero-shot Image Recognition

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Class-Incremental Generalized Zero-Shot Learning

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VISIONARY CALORIE NAVIGATOR USING AI-ML

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Detection of Tomato Plant Disease Using Convolutional Neural Networks

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Improving a Large-Scale Image Classification Accuracy with Deep Learning

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Uma arquitetura de Data Lake baseado em Deep Learning para busca de imagens parasitárias de doenças socialmente determinadas

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CEFCIL: Comprehensive Ensemble Framework for Exemplar-Free Class Incremental Learning

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CDFFCIL: Comprehensive Framework for Data-Free Federated Class-Incremental Learning

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Minimization of calibrated loss functions for image classification

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Multimodal machine learning : complementarity of textual and visual contexts

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Robust image representation for classification, retrieval and object discovery

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Deep Multimodal Learning for Joint Textual and Visual Reasoning

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Few-Shot Intent Classification in User-Generated Short Texts : Application to Conversational Agents

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On the evaluation and generalization of visual representations

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Algorithms and feature preprocessing for transductive few-shot image classification

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Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

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IEEE TRANSACTIONS ON PATTERN RECOGNITION AND MACHINE INTELLIGENCE 1 Distance-Based Image Classification: Generalizing to new classes at near-zero cost

Mensink, T., Ieee, M., Verbeek, J. J., Perronnin, F., & Csurka, G. (2014)

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

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Metric learning applied for automatic large scale image classification

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Zero-Shot Image Classification Based on a Learnable Deep Metric

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