LEADER 00955nam0-22003131i-450- 001 990001104140403321 010 $a88-7088-280-X 035 $a000110414 035 $aFED01000110414 035 $a(Aleph)000110414FED01 035 $a000110414 100 $a20000920d1992----km-y0itay50------ba 101 0 $aeng 200 1 $aMonographs on Fundamental Physics$eProceedings of Capri Symposia 1990-1991$fedited by Franco Buccella 210 $aNapoli$cBibliopolis$d1992 225 1 $aMonographs and textbooks in physical science$iLecture notes$v23 610 0 $aTeoria dei campi 610 0 $aTeoria dello scattering 610 0 $aTeoria dei molti corpi 676 $a530.142 700 1$aBuccella,$bFranco$045504 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001104140403321 952 $a22A-364.002$b19826$fFI1 959 $aFI1 996 $aMonographs on Fundamental Physics$9338320 997 $aUNINA DB $aING01 LEADER 06503nam 22006855 450 001 996464413403316 005 20220115060152.0 010 $a3-030-69538-7 024 7 $a10.1007/978-3-030-69538-5 035 $a(CKB)4100000011781457 035 $a(MiAaPQ)EBC6501097 035 $a(DE-He213)978-3-030-69538-5 035 $a(PPN)253858755 035 $a(EXLCZ)994100000011781457 100 $a20210224d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ACCV 2020$b[electronic resource] $e15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 ? December 4, 2020, Revised Selected Papers, Part IV /$fedited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XVIII, 715 p. 284 illus., 278 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12625 311 $a3-030-69537-9 327 $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. 330 $aThe six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12625 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 676 $a006.37 702 $aIshikawa$b Hiroshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Cheng-Lin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPajdla$b Tomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShi$b Jianbo$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996464413403316 996 $aComputer vision-ACCV 2020$91890247 997 $aUNISA LEADER 00874nam a22002411i 4500 001 991000194919707536 005 20020920133442.0 008 020920s1976 xxu|||||||||||||||||eng 020 $a0121992500 035 $ab11972336-39ule_inst 035 $aARCHE-006213$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 100 1 $aCulicover, Peter W.$051245 245 10$aSyntax /$cPeter W. Culicover 260 $aNew York :$bAcademic Press,$cc1976 300 $aXI, 316 p. ;$c24 cm 650 4$aLingua inglese$xSintassi 907 $a.b11972336$b02-04-14$c01-04-03 912 $a991000194919707536 945 $aLE008 FL.M. (L.G.) E 29$g1$i2008000406929$lle008$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12251999$z01-04-03 996 $aSyntax$9136895 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$feng$gxxu$h0$i1