A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification

Layer-wise learning based stochastic gradient descent method for the optimization of deep convolutional neural network

(2019) Qinghe Zheng et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning

(2019) Qinghe Zheng et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

(2018) Fatemeh Sadat Saleh et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Towards Reaching Human Performance in Pedestrian Detection

(2018) Shanshan Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Weakly supervised semantic segmentation based on EM algorithm with localization clues

(2018) Yang Li et al.   NEUROCOMPUTING

Deep hierarchical guidance and regularization learning for end-to-end depth estimation

(2018) Zhenyu Zhang et al.   PATTERN RECOGNITION

Sample efficient deep reinforcement learning for dialogue systems with large action spaces

(2018) Gellert Weisz et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-Stage Training Process

(2018) Qinghe Zheng et al.   IEEE Access

Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

(2017) Jiwen Lu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep learning for logo recognition

(2017) Simone Bianco et al.   NEUROCOMPUTING

Smart Augmentation Learning an Optimal Data Augmentation Strategy

(2017) Joseph Lemley et al.   IEEE Access

Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild

(2016) Hugo Proenca et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatio-temporal convolution kernels

(2015) Konstantin Knauf et al.   MACHINE LEARNING

Towards dropout training for convolutional neural networks

(2015) Haibing Wu et al.   NEURAL NETWORKS

A review on automatic detection and recognition of traffic sign

(2014) Anjan Gudigar et al.   MULTIMEDIA TOOLS AND APPLICATIONS