image classification

Deep Fractional Fourier Transform NeurIPS 2023 DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network CVPR 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks ACML 2023 Denoising Masked Autoencoders Help Robust Classification ICLR 2023 D-Extract: Extracting Dimensional Attributes From Product Images WACV 2023 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NeurIPS 2023 DIRE for Diffusion-Generated Image Detection ICCV 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023 Discrete Cosin TransFormer: Image Modeling From Frequency Domain WACV 2023 Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation CVPR 2023 Does progress on ImageNet transfer to real-world datasets? NeurIPS 2023 Doubly-Robust Self-Training NeurIPS 2023 Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine AAAI 2023 DropKey for Vision Transformer CVPR 2023 Dropout Reduces Underfitting ICML 2023 Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision CVPR 2023 Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023 Efficient Converted Spiking Neural Network for 3D and 2D Classification ICCV 2023 Efficient Dynamic Batch Adaptation (Student Abstract) AAAI 2023 Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023 EGC: Image Generation and Classification via a Diffusion Energy-Based Model ICCV 2023 EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes ICCV 2023