001461435 000__ 05622cam\a2200661\i\4500
001461435 001__ 1461435
001461435 003__ OCoLC
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001461435 019__ $$a1372369006
001461435 020__ $$a9783031270666$$q(electronic bk.)
001461435 020__ $$a3031270665$$q(electronic bk.)
001461435 020__ $$z9783031270659
001461435 0247_ $$a10.1007/978-3-031-27066-6$$2doi
001461435 035__ $$aSP(OCoLC)1372632810
001461435 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dUKAHL$$dOCLCF
001461435 049__ $$aISEA
001461435 050_4 $$aTA1634
001461435 08204 $$a006.3/7$$223/eng/20230315
001461435 1112_ $$aAsian Conference on Computer Vision$$n(16th :$$d2022 :$$cMacau, China)
001461435 24510 $$aComputer vision - ACCV 2022 workshops :$$b16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, revised selected papers /$$cYinqiang Zheng, Hacer Yalim Keleş, Piotr Koniusz, editors.
001461435 264_1 $$aCham :$$bSpringer,$$c[2023]
001461435 264_4 $$c©2023
001461435 300__ $$a1 online resource (xiii, 378 pages) :$$billustrations (chiefly color).
001461435 336__ $$atext$$btxt$$2rdacontent
001461435 337__ $$acomputer$$bc$$2rdamedia
001461435 338__ $$aonline resource$$bcr$$2rdacarrier
001461435 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13848
001461435 500__ $$aInternational conference proceedings.
001461435 500__ $$aIncludes author index.
001461435 5050_ $$aLearning with Limited Data for Face Analysis -- FAPN: Face Alignment Propagation Network for Face Video Super-Resolution -- Micro-expression recognition using a shallow ConvLSTM-based network -- Adversarial Machine Learning towards Advanced Vision Systems -- ADVFilter: Adversarial Example Generated by Perturbing Optical Path -- Enhancing Federated Learning Robustness Through clustering Non-IID Features -- Towards Improving the Anti-attack Capability of the RangeNet++ -- Computer Vision for Medical Computing -- Ensemble Model of Visual Transformer and CNN Helps BA Diagnosis for Doctors in Underdeveloped Areas -- Understanding Tumor Micro Environment using Graph theory -- Handling Domain Shift for Lesion Detection via Semi-Supervised Domain Adaptation -- Photorealistic Facial Wrinkles Removal -- Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation Is All You Need -- Machine Learning and Computing for Visual Semantic Analysis -- Towards Scene Understanding for Autonomous Operations on Airport Aprons -- Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination -- A Transformer-based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-p -- CaltechFN: Distorted and Partially Occluded Digits -- Temporal Extension Topology Learning for Video-based Person Re-Identification -- Deep RGB-driven Learning Network for Unsupervised Hyperspectral Image Super-resolution -- Gift from nature: Potential Energy Minimization for explainable dataset distillation -- Object Centric Point Sets Feature Learning with Matrix Decomposition -- Aerial Image Segmentation via Noise Dispelling and Content Distilling -- Vision Transformers Theory and Applications -- Temporal Cross-attention for Action Recognition -- Transformer Based Motion In-Betweening -- Convolutional point Transformer -- Cross-Attention Transformer for Video Interpolation -- Deep Learning-Based Small Object Detection from Images and Videos -- Evaluating and Bench-marking Object Detection Models for Traffic Sign and Traffic Light Datasets -- Exploring Spatial-temporal Instance Relationships In an Intermediate Domain For Image-to-video Object Detection.
001461435 506__ $$aAccess limited to authorized users.
001461435 520__ $$aThis book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. The 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.
001461435 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 15, 2023).
001461435 650_0 $$aComputer vision$$vCongresses.
001461435 655_0 $$aElectronic books.
001461435 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001461435 655_7 $$aConference papers and proceedings.$$2lcgft
001461435 7001_ $$aZheng, Yinqiang,$$eeditor.
001461435 7001_ $$aKeleş, Hacer Yalim,$$eeditor.
001461435 7001_ $$aKoniusz, Piotr,$$eeditor.
001461435 830_0 $$aLecture notes in computer science ;$$v13848.$$x1611-3349
001461435 852__ $$bebk
001461435 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-27066-6$$zOnline Access$$91397441.1
001461435 909CO $$ooai:library.usi.edu:1461435$$pGLOBAL_SET
001461435 980__ $$aBIB
001461435 980__ $$aEBOOK
001461435 982__ $$aEbook
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