image classification

PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification CVPR 2023 PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones NeurIPS 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 Provable Defense Against Geometric Transformations ICLR 2023 RaMLP: Vision MLP via Region-aware Mixing IJCAI 2023 RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories CVPR 2023 Representation Learning via Consistent Assignment of Views over Random Partitions NeurIPS 2023 ResFormer: Scaling ViTs With Multi-Resolution Training CVPR 2023 Resilient Binary Neural Network AAAI 2023 RevColV2: Exploring Disentangled Representations in Masked Image Modeling NeurIPS 2023 Revisiting adapters with adversarial training ICLR 2023 Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023 Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View NeurIPS 2023 Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NeurIPS 2023 Robust Image Classification via Using Multiple Diversity Losses ACML 2023 Robustness in Multimodal Learning under Train-Test Modality Mismatch ICML 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 SAAL: Sharpness-Aware Active Learning ICML 2023 Scale-Aware Modulation Meet Transformer ICCV 2023 Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory ICML 2023 Scattering Vision Transformer: Spectral Mixing Matters NeurIPS 2023 Schema Inference for Interpretable Image Classification ICLR 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NeurIPS 2023 SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification MIDL 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023