image classification

Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution ICLR 2023 Equiangular Basis Vectors CVPR 2023 Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023 Equivariance with Learned Canonicalization Functions ICML 2023 ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning AAAI 2023 ETran: Energy-Based Transferability Estimation ICCV 2023 Explaining Image Classifiers With Multiscale Directional Image Representation CVPR 2023 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023 Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones CVPR 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection ICLR 2023 FastViT: A Fast Hybrid Vision Transformer Using Structural Reparameterization ICCV 2023 FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function ICCV 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Federated Learning for Commercial Image Sources WACV 2023 Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat ICCV 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 Few Shot Hematopoietic Cell Classification MIDL 2023 FFCV: Accelerating Training by Removing Data Bottlenecks CVPR 2023 Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats IJCAI 2023 FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification ICLR 2023 Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data AISTATS 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring NeurIPS 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023 Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design NeurIPS 2023