Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Computer Vision - Accv 2020: 15Th Asian Conference On Computer Vision, Kyot...
US $9.99
Condition:
Nieuw
Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of beschadigd zijn. Bekijk de aanbieding van de verkoper voor de volledige details.
- Buy It NowComputer Vision - Accv 2020: 15Th Asian Conference On Computer Vision, Kyot...
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Free USPS First Class®.
Located in: Turlock, California, United States
Delivery:
Estimated between Wed, Jul 23 and Fri, Jul 25 to 94104
Returns:
No returns accepted.
Payments:
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:115804965454
Item specifics
- Condition
- Book Title
- Computer Vision - Accv 2020: 15Th Asian Conference On Comput...
- ISBN
- 9783030695378
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030695379
ISBN-13
9783030695378
eBay Product ID (ePID)
13050397394
Product Key Features
Number of Pages
Xviii, 715 Pages
Publication Name
Computer Vision - ACCV 2020 : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV
Language
English
Subject
Hardware / General, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year
2021
Type
Textbook
Subject Area
Computers
Series
Lecture Notes in Computer Science Ser.
Format
Trade Paperback
Dimensions
Item Weight
39.2 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Series Volume Number
12625
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Deep Learning for Computer Vision.- In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization.- Exploiting Transferable Knowledge for Fairness-aware Image Classification.- Introspective Learning by Distilling Knowledge from Online Self-explanation.- Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity.- Meta-Learning with Context-Agnostic Initialisations.- Second Order enhanced Multi-glimpse Attention in Visual Question Answering.- Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection.- Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes.- Part-aware Attention Network for Person Re-Identification.- Image Captioning through Image Transformer.- Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration.- Learn more, forget less: Cues from human brain.- Knowledge Transfer Graph for Deep Collaborative Learning.- Regularizing Meta-Learning via Gradient Dropout.- Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks.- Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed.- Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.- Double Targeted Universal Adversarial Perturbations.- Adversarially Robust Deep Image Super-Resolution using Entropy Regularization.- Online Knowledge Distillation via Multi-branch Diversity Enhancement.- Rotation Equivariant Orientation Estimation for Omnidirectional Localization.- Contextual Semantic Interpretability.- Few-Shot Object Detection by Second-order Pooling.- Depth-Adapted CNN for RGB-D cameras.- Generative Models for Computer Vision.- Over-exposure Correction via Exposure and Scene Information Disentanglement.- Novel-View Human Action Synthesis.- Augmentation Network for Generalised Zero-Shot Learning.- Local Facial Makeup Transfer via Disentangled Representation.- OpenGAN: Open Set Generative Adversarial Networks.- CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation.- TinyGAN: Distilling BigGAN for Conditional Image Generation.- A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings.- RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation.- GAN-based Noise Model for Denoising Real Images.- Emotional Landscape Image Generation Using Generative Adversarial Networks.- Feedback Recurrent Autoencoder for Video Compression.- MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network.- DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution.- dpVAEs: Fixing Sample Generation for Regularized VAEs.- MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network.- EvolGAN: Evolutionary Generative Adversarial Networks.- Sequential View Synthesis with Transformer.
Synopsis
The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
LC Classification Number
TA1634
Item description from the seller
About this seller
Sodapop Surprise
98.2% positive feedback•8.8K items sold
Registered as a private sellerThereby, consumer rights stemming from EU consumer protection law do not apply. eBay buyer protection still applies to most purchases.
Popular categories from this store
Seller feedback (2,662)
- 3***8 (7)- Feedback left by buyer.Past monthVerified purchaseThanks! I got the dress on time, I hope my granddaughter will like it.
- 5***a (201)- Feedback left by buyer.Past monthVerified purchaseGot here in the nick of time
- a***a (7325)- Feedback left by buyer.Past monthVerified purchaseGood purchase, as described and shipped quickly.