E-Book, Englisch, Band 12539, 752 Seiten, eBook
Bartoli / Fusiello Computer Vision – ECCV 2020 Workshops
1. Auflage 2020
ISBN: 978-3-030-68238-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Glasgow, UK, August 23–28, 2020, Proceedings, Part V
E-Book, Englisch, Band 12539, 752 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-68238-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Research
Autoren/Hrsg.
Weitere Infos & Material
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.