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Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features

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Effective Use of Frequent Itemset Mining for Image Classification

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Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability

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Mean Shift for Self-Supervised Learning

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Flower classification using CNN and transfer learning in CNN- Agriculture Perspective

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LoFGAN: Fusing Local Representations for Few-shot Image Generation

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GAN Memory with No ForgettingPreprint

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A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks

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Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato Diseases

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pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning

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Deep Learning for Fine-Grained Image Analysis: A SurveyPreprint

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Flowers, leaves or both? How to obtain suitable images for automated plant identification

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A New Biologically Inspired Color Image Descriptor

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Deep Learning Model of Image Classification Using Machine Learning

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Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models

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ProtoCLIP: Prototypical Contrastive Language Image Pretraining

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Generative artificial intelligence and building design: early photorealistic render visualization of façades using local identity-trained models

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Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks

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Learning from small sample sets by combining unsupervised meta-training with CNNs

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LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges

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Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification

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Metric Learning with Multiple Kernels

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CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis

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A Deep CNN Approach for Plant Disease Detection

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OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning

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A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity

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Jointly Learning Visually Correlated Dictionaries for Large-Scale Visual Recognition Applications

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