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One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models

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Contextual Exemplar Classifier-Based Image Representation for Classification

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Friend or Foe: Fine-Grained Categorization With Weak Supervision

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Structured Weak Semantic Space Construction for Visual Categorization

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Learning visual and textual representations for multimodal matching and classification

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Dual Adversarial Inference for Text-to-Image Synthesis

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Medical Image Classification Using Generalized Zero Shot Learning

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RiFeGAN2: Rich Feature Generation for Text-to-Image Synthesis From Constrained Prior Knowledge

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Meta Approach to Data Augmentation Optimization

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Leaf Image Classification with Shape Context and SIFT Descriptors

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Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkPreprint

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Augmented Shortcuts for Vision TransformersPreprint

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Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions

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Image Class Prediction by Joint Object, Context, and Background Modeling

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Deep super-class learning for long-tail distributed image classification

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An efficient classification of flower images with convolutional neural networks

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AutoFCL: automatically tuning fully connected layers for handling small dataset

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On Adversarial Robustness: A Neural Architecture Search perspective

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Subtler mixed attention network on fine-grained image classification

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Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques

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Animal Classification System: A Block Based Approach

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Extending and Analyzing Self-supervised Learning Across Domains

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Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet

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Digital Image Classification for Malaysian Blooming Flower

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Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match

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PBC: Polygon-Based Classifier for Fine-Grained Categorization

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Scheduled sampling for one-shot learning via matching network

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Adversarial nets with perceptual losses for text-to-image synthesis

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Leaf Image Recognition Based on Bag of Features

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DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering

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Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning

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Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

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MFF: Multi-modal feature fusion for zero-shot learning

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Higher-order Occurrence Pooling on Mid-and Low-level Features: Visual Concept Detection

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Synthetic Sample Selection for Generalized Zero-Shot Learning

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EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge

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T2TD: Text-3D Generation Model Based on Prior Knowledge Guidance

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LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP

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LDH-ViT: Fine-grained visual classification through local concealment and feature selection

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How Do You Tell a Blackbird from a Crow?

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Fine-Grained Product Class Recognition for Assisted Shopping

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Towards Reversal-Invariant Image Representation

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Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes

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Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections

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Flower Classification using Deep Learning models

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Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier

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DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation

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A Generalized Zero-Shot Learning Scheme for SSVEP-Based BCI System

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A Light Recipe to Train Robust Vision Transformers

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Graph Neural Networks With Triple Attention for Few-Shot Learning

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Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation

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EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning

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Learning Concise and Descriptive Attributes for Visual Recognition

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An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

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AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning

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Fine-grained classification of pedestrians in video: Benchmark and state of the art

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Real-world plant species identification based on deep convolutional neural networks and visual attention

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Learning Cascade Attention for fine-grained image classification

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Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning

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LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval

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Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining ParadigmsPreprint

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TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device LearningPreprint

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PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image ClassifierPreprint

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Bayesian Prompt Learning for Image-Language Model Generalization

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Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models

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Spatially varying nanophotonic neural networks

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GalLoP: Learning Global and Local Prompts for Vision-Language Models

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A comprehensive overview of Generative AI (GAI): Technologies, applications, and challenges

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Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions

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Image classification using Harr-like transformation of local features with coding residuals

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Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets

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NetTailor: Tuning the Architecture, Not Just the Weights

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Enhanced Transfer Learning with ImageNet Trained Classification Layer

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Budget-Aware Adapters for Multi-Domain Learning

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Deep and wide feature based extreme learning machine for image classification

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ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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A Style-aware Discriminator for Controllable Image Translation

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A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch

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Replacing Labeled Real-image Datasets with Auto-generated Contours

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Efficient adaptive ensembling for image classification

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EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones

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Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints

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Vision of a Visipedia

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Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

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Transfer Learning with Kernel Methods

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A ferroelectric–memristor memory for both training and inference

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OpenGAN: Open Set Generative Adversarial Networks

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Efficient Neural Architecture for Text-to-Image Synthesis

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