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|a Asian Conference on Computer Vision
|n (15th :
|d 2020 :
|c Online)
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|a Computer vision - ACCV 2020 :
|b 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers.
|n Part IV /
|c Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi (eds.).
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| 246 |
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|a ACCV 2020
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| 264 |
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|a Cham :
|b Springer,
|c [2021]
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|a 1 online resource (xxviii, 715 pages) :
|b illustrations (chiefly color)
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| 490 |
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|a Lecture notes in computer science ;
|v 12625
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| 490 |
1 |
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|a LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
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| 500 |
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|a International conference proceedings.
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|a Includes author index.
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|a 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.
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|a 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.
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|a Online resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
|
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|a Access restricted to registered UOB users with valid accounts.
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| 650 |
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|a Computer vision
|v Congresses.
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| 650 |
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|a Optical data processing.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computers.
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| 650 |
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|a Pattern perception.
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|a Application software.
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|a artificial intelligence.
|2 aat
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|a computers.
|2 aat
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|a Application software
|2 fast
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|a Artificial intelligence
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|a Computer vision
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|a Computers
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|a Optical data processing
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|a Pattern perception
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|a proceedings (reports)
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|a Conference papers and proceedings
|2 fast
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Ishikawa, Hiroshi,
|e editor.
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| 700 |
1 |
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|a Liu, Cheng-Lin,
|e editor.
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| 700 |
1 |
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|a Pajdla, Tomáš,
|e editor.
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| 700 |
1 |
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|a Shi, Jianbo,
|e editor.
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| 773 |
0 |
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|t Springer Nature eBook
|w (OCoLC)1412479999
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| 776 |
0 |
8 |
|i Print version:
|z 9783030695378
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| 776 |
0 |
8 |
|i Print version:
|z 9783030695392
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 12625.
|
| 830 |
|
0 |
|a LNCS sublibrary.
|n SL 6,
|p Image processing, computer vision, pattern recognition, and graphics.
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| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-69538-5
|y Click for online access
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| 903 |
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|a SPRING-COMP2021
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| 994 |
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|a 92
|b HCD
|