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image classification

1943 papers

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convolutional neural network (4216) object detection (2759) semantic segmentation (3179) transfer learning (5442) vision transformer (1091) neural network (6616) representation learning (6174) multimodal learning (4622) data augmentation (3037) feature learning (1309)

Papers

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NIPS 2024
Automatic pitch accent classification through image classification INTERSPEECH 2024
Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
Visual Narratives: Large-Scale Hierarchical Classification of Art-Historical Images WACV 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024
VkD: Improving Knowledge Distillation using Orthogonal Projections CVPR 2024
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective CVPR 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection NIPS 2024
Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NIPS 2024
ST$_k$: A Scalable Module for Solving Top-k Problems NIPS 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NIPS 2024
Exploring Token Pruning in Vision State Space Models NIPS 2024
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification NIPS 2024
NeSyFOLD: A Framework for Interpretable Image Classification AAAI 2024
Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NIPS 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity NIPS 2024