image classification

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 PR Product: A Substitute for Inner Product in Neural Networks ICCV 2019 Regularized Evolution for Image Classifier Architecture Search AAAI 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 S4L: Self-Supervised Semi-Supervised Learning ICCV 2019 Saccader: Improving Accuracy of Hard Attention Models for Vision NeurIPS 2019 Scene Categorization From Contours: Medial Axis Based Salience Measures CVPR 2019 Selective Kernel Networks CVPR 2019 Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019 Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ICML 2019 Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019 Single-Label Multi-Class Image Classification by Deep Logistic Regression AAAI 2019 Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019 SparseFool: A Few Pixels Make a Big Difference CVPR 2019 Spectral Metric for Dataset Complexity Assessment CVPR 2019 SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images CVPR 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019 Stand-Alone Self-Attention in Vision Models NeurIPS 2019 STAR-Caps: Capsule Networks with Straight-Through Attentive Routing NeurIPS 2019 Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019 Subspace Inference for Bayesian Deep Learning UAI 2019 SVM-Based Deep Stacking Networks AAAI 2019 TallyQA: Answering Complex Counting Questions AAAI 2019