11-30

(2019) Fixing the train-test resolution discrepancy

11-23

(ICLR 2019) Benchmarking neural network robustness to common corruptions and perturbations

11-23

(ECCV 2016) Deep networks with stochastic depth

11-23

(ICLR 2019) EfficientNet:Rethinking model scaling for convolutional neural networks

11-23

(CVPR 2019) Auto-deeplab:Hierarchical neural architecture search for semantic image segmentation

11-17

(2019) Self-training with Noisy Student improves ImageNet classification

11-17

(ECCV 2018) Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

11-17

(CVPR 2017) Rethinking Atrous Convolution for Semantic Image Segmentation

11-16

(PAMI 2017) DeepLab:Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

11-16

(ICLR 2015) Semantic image segmentation with deep convolutional nets and fully connected CRFs