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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

CLTL@Multimodal Hate Speech Event Detection 2024: The Winning Approach to Detecting Multimodal Hate Speech and Its Targets EACL 2024
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024
Dealing with Synthetic Data Contamination in Online Continual Learning NIPS 2024
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks AAAI 2024
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One CVPR 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NIPS 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs CVPR 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NIPS 2024
Fair-VPT: Fair Visual Prompt Tuning for Image Classification CVPR 2024
RepViT: Revisiting Mobile CNN From ViT Perspective CVPR 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024
Pre-training Vision Models with Mandelbulb Variations CVPR 2024
Logarithmic Lenses: Exploring Log RGB Data for Image Classification CVPR 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation AAAI 2024
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024
MoDE: CLIP Data Experts via Clustering CVPR 2024
Learning Correlation Structures for Vision Transformers CVPR 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NIPS 2024
Object Recognition as Next Token Prediction CVPR 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN AAAI 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024