• Self-Ensembling with GAN-Based DATA Augmentation for Domain Adaptation in Semantic Segmentation
• Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
• Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
• Few-Shot Adaptive Gaze Estimation
• What is Wrong with Scene Text Recognition Model Comparisons? Datasets and Model Analysis
• 3D Scene Reconstruction with Multi-Layer Depth and Epipolar Transformers
• Elaborate Monocular Point and Line SLAM with Robust Initialization
• GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
• Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
• A Comprehensive Overhaul of Feature Distillation
• On the Efficacy of Knowledge Distillation
• Context-Aware Emotion Recognition Networks
• Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
• CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
• Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
• Overcoming Catastrophic Forgetting with Unlabelled Data in the Wild
• Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
• Deep SR_ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
• Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks
• Hyperpixel Flow: Semantic Correspondence with Multi-Layer Neural Features