Computer Vision - ECCV 2020 Workshops : Glasgow, UK, August 23-28, 2020, Proceedings, Part V / edited by Adrien Bartoli, Andrea Fusiello.

Format:

Book

Contributor:

Bartoli, Adrien, Editor.

Fusiello, Andrea, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12539

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12539

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Pattern recognition systems.

Application software.

Computer networks.

Computer Vision.

Machine Learning.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Computer Communication Networks.

Local Subjects:

Computer Vision.

Machine Learning.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Computer Communication Networks.

Physical Description:

1 online resource (XXVIII, 752 pages) : 298 illustrations, 283 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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. .

Contents:

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 Attention for 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 Challenge Results

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.

Other Format:

Printed edition:

ISBN:

978-3-030-68238-5

9783030682385

Access Restriction:

Restricted for use by site license.