Image Classification

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models EMNLP 2024 Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NeurIPS 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 In Pursuit of Causal Label Correlations for Multi-label Image Recognition NeurIPS 2024 Interactive Mars Image Content-Based Search with Interpretable Machine Learning AAAI 2024 Interpretable Image Classification with Adaptive Prototype-based Vision Transformers NeurIPS 2024 Learning Correlation Structures for Vision Transformers CVPR 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NeurIPS 2024 Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation AAAI 2024 LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content CVPR 2024 LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition ICLR 2024 Making Vision Transformers Truly Shift-Equivariant CVPR 2024 Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model NeurIPS 2024 Multisize Dataset Condensation ICLR 2024 Novel Class Discovery for Ultra-Fine-Grained Visual Categorization CVPR 2024 Physics-Constrained Comprehensive Optical Neural Networks NeurIPS 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024 Why are Visually-Grounded Language Models Bad at Image Classification? NeurIPS 2024 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023 A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset NeurIPS 2023 A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity ICLR 2023 Automated Classification of Model Errors on ImageNet NeurIPS 2023