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image classification

1944 papers

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Co-occurring keywords

convolutional neural network (4226) object detection (2762) semantic segmentation (3186) transfer learning (5449) vision transformer (1106) neural network (6616) representation learning (6206) multimodal learning (4645) data augmentation (3052) feature learning (1311)

Papers

Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems ICML 2019
Equivariant Transformer Networks ICML 2019
Extracting Possessions from Social Media: Images Complement Language IJCNLP 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations ICML 2019
Regularized Evolution for Image Classifier Architecture Search AAAI 2019
Meta Architecture Search NIPS 2019
Making Convolutional Networks Shift-Invariant Again ICML 2019
Integral Object Mining via Online Attention Accumulation ICCV 2019
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification ACML 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NIPS 2019
Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019
XNAS: Neural Architecture Search with Expert Advice NIPS 2019
Detecting Overfitting via Adversarial Examples NIPS 2019
Convolution with even-sized kernels and symmetric padding NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NIPS 2019
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection NIPS 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Fast AutoAugment NIPS 2019
Addressing Failure Prediction by Learning Model Confidence NIPS 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NIPS 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision NIPS 2019
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NIPS 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition NIPS 2019