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E-grāmata: Computer Vision - ECCV 2020 Workshops: Glasgow, UK, August 23-28, 2020, Proceedings, Part V

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The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic.

The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics.

Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding. 

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
Attentionfor Image Restoration.- Transform Domain Pyramidal Dilated
Convolution Networks For Restoration of Under Display Camera Images.- Deep
Atrous Guided Filter for Image Restoration in Under Display Cameras.-
Residual and Dense UNet for Under-display Camera Restoration.- W31 - The
Bright and Dark Sides of Computer Vision: Challenges and Opportunities for
Privacy and Security (CV-COPS 2020).- Body Shape Privacy in Images:
Understanding Privacy and Preventing Automatic Shape Extraction.- Adversarial
Training against Location-Optimized Adversarial Patches.- Revisiting the
Threat Space for Vision-based Keystroke Inference Attacks.- Black-Box Face
Recovery from Identity Features.- Privacy-Aware Face Recognition with
Lensless Multi-Pinhole Camera.- Frequency-Tuned Universal Adversarial
Perturbations.- Face-Image Source Generator Identification.- Spatio-Temporal
Handwriting Imitation.- W32 - The Visual Object Tracking Challenge Workshop
VOT2020.- The Eighth Visual Object Tracking VOT2020 ChallengeResults.- Robust
Long-Term Object Tracking via Improved Discriminative Model Prediction.- An
 Exploration of Target-Conditioned Segmentation Methods for Visual Object
Trackers.- AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC
Baseline.- RPT: Learning Point Set Representation for Siamese Visual
Tracking.- AFOD: Adaptive Focused Discriminative Segmentation Tracker.-
Cascaded Tracking via Pyramid Dense Capsules.- W33 - Video Turing Test:
Toward Human-Level Video Story Understanding.- GCF-Net: Gated Clip Fusion
Network for Video Action Recognition.- Late Temporal Modeling in 3D CNNs with
BERT.