image classification

Class Adaptive Network Calibration CVPR 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification ICCV 2023 Class-Incremental Exemplar Compression for Class-Incremental Learning CVPR 2023 CLIPPO: Image-and-Language Understanding From Pixels Only CVPR 2023 ClusterFomer: Clustering As A Universal Visual Learner NeurIPS 2023 CNN2Graph: Building Graphs for Image Classification WACV 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 Computer Vision for International Border Legibility WACV 2023 Concept Correlation and Its Effects on Concept-Based Models WACV 2023 Continual Learning With Dependency Preserving Hypernetworks WACV 2023 Contrastive Audio-Visual Masked Autoencoder ICLR 2023 Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 Convolutional Networks with Oriented 1D Kernels ICCV 2023 Corrupted Image Modeling for Self-Supervised Visual Pre-Training ICLR 2023 Co-Training 2L Submodels for Visual Recognition CVPR 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability CVPR 2023 CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation NeurIPS 2023 CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations ICML 2023 CUDA: Curriculum of Data Augmentation for Long-tailed Recognition ICLR 2023 Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization ICLR 2023 DataDAM: Efficient Dataset Distillation with Attention Matching ICCV 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 DDGR: Continual Learning with Deep Diffusion-based Generative Replay ICML 2023 DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection NeurIPS 2023