Computer Vision - ECCV 2020 Workshops

W27 - The 16th Embedded Vision Workshop.- Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions.- SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation.- Weight-dependent Gates for Differentiable Neural Network Pruning.- QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework.- An Efficient Method for Face Quality Assessment on the Edge.- Efficient Approximation of Filters for High-Accuracy Binary Convolutional Neural Networks.- One Weight Bitwidth to Rule Them All.- Real-time detection of multiple targets from a moving 360 panoramic imager in the wild.- Post Training Mixed-precision Quantization based on Key Layers Selection.- Subtensor Quantization for Mobilenets.- Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules.- W29 - Real-World Computer Vision from Inputs with Limited Quality (RLQ).- Reinforcement Learning for Improving Object Detection.- Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels.- Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training.- What Does CNN Shift Invariance Look Like? A Visualization Study.- Challenges from Fast Camera Motion and Image Blur: Dataset and Evaluation.- Self-Supervised Attribute-Aware Re nement Network for Low-Quality Text Recognition.- Face Mask Invariant End-to-End Face Recognition.- Visible Feature Guidance for Crowd Pedestrian Detection.- The Impact of Real Rain in a Vision Task.- Hard Occlusions in Visual Object Tracking.- The 1st Tiny Object Detection Challenge: Methods and Results.- Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection.- Exploring Effective Methods to Improve the Performance of Tiny Object Detection.- UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results.- A Dual Residual Network with Channel