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001434690 019__ $$a1240586074$$a1249944167
001434690 020__ $$a9783030695385$$q(electronic bk.)
001434690 020__ $$a3030695387$$q(electronic bk.)
001434690 020__ $$z9783030695378
001434690 0247_ $$a10.1007/978-3-030-69538-5$$2doi
001434690 035__ $$aSP(OCoLC)1241066671
001434690 040__ $$aDKU$$beng$$erda$$epn$$cDKU$$dOCLCO$$dGZM$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dLEATE$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434690 049__ $$aISEA
001434690 050_4 $$aTA1634
001434690 08204 $$a006.3/7$$223
001434690 1112_ $$aAsian Conference on Computer Vision$$n(15th :$$d2020 :$$cOnline)
001434690 24510 $$aComputer vision - ACCV 2020 :$$b15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers.$$nPart IV /$$cHiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi (eds.).
001434690 24630 $$aACCV 2020
001434690 264_1 $$aCham :$$bSpringer,$$c[2021]
001434690 300__ $$a1 online resource (xxviii, 715 pages) :$$billustrations (chiefly color)
001434690 336__ $$atext$$btxt$$2rdacontent
001434690 337__ $$acomputer$$bc$$2rdamedia
001434690 338__ $$aonline resource$$bcr$$2rdacarrier
001434690 4901_ $$aLecture notes in computer science ;$$v12625
001434690 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
001434690 500__ $$aInternational conference proceedings.
001434690 500__ $$aIncludes author index.
001434690 5050_ $$aDeep 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.
001434690 506__ $$aAccess limited to authorized users.
001434690 520__ $$aThe six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
001434690 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
001434690 650_0 $$aComputer vision$$vCongresses.
001434690 650_0 $$aOptical data processing.
001434690 650_0 $$aArtificial intelligence.
001434690 650_0 $$aComputers.
001434690 650_0 $$aPattern perception.
001434690 650_0 $$aApplication software.
001434690 650_6 $$aVision par ordinateur$$vCongrès.
001434690 650_6 $$aTraitement optique de l'information.
001434690 650_6 $$aIntelligence artificielle.
001434690 650_6 $$aOrdinateurs.
001434690 650_6 $$aPerception des structures.
001434690 650_6 $$aLogiciels d'application.
001434690 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434690 655_7 $$aConference papers and proceedings.$$2lcgft
001434690 655_7 $$aActes de congrès.$$2rvmgf
001434690 655_0 $$aElectronic books.
001434690 7001_ $$aIshikawa, Hiroshi,$$eeditor.
001434690 7001_ $$aLiu, Cheng-Lin,$$eeditor.
001434690 7001_ $$aPajdla, Tomáš,$$eeditor.
001434690 7001_ $$aShi, Jianbo,$$eeditor.
001434690 77608 $$iPrint version:$$z9783030695378
001434690 77608 $$iPrint version:$$z9783030695392
001434690 830_0 $$aLecture notes in computer science ;$$v12625.
001434690 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001434690 852__ $$bebk
001434690 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69538-5$$zOnline Access$$91397441.1
001434690 909CO $$ooai:library.usi.edu:1434690$$pGLOBAL_SET
001434690 980__ $$aBIB
001434690 980__ $$aEBOOK
001434690 982__ $$aEbook
001434690 983__ $$aOnline
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