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001434641 020__ $$a9783030695446$$q(electronic bk.)
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001434641 0247_ $$a10.1007/978-3-030-69544-6$$2doi
001434641 035__ $$aSP(OCoLC)1241066050
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001434641 049__ $$aISEA
001434641 050_4 $$aTA1634
001434641 08204 $$a006.3/7$$223
001434641 1112_ $$aAsian Conference on Computer Vision$$n(15th :$$d2020 :$$cOnline)
001434641 24510 $$aComputer vision - ACCV 2020 :$$b15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers.$$nPart VI /$$cHiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi (eds.).
001434641 24630 $$aACCV 2020
001434641 264_1 $$aCham :$$bSpringer,$$c[2021]
001434641 300__ $$a1 online resource (xviii, 705 pages) :$$billustrations
001434641 336__ $$atext$$btxt$$2rdacontent
001434641 337__ $$acomputer$$bc$$2rdamedia
001434641 338__ $$aonline resource$$bcr$$2rdacarrier
001434641 347__ $$atext file
001434641 347__ $$bPDF
001434641 4901_ $$aLecture notes in computer science ;$$v12627
001434641 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
001434641 500__ $$aInternational conference proceedings.
001434641 500__ $$aIncludes author index.
001434641 5050_ $$aApplications of Computer Vision, Vision for X -- Query by Strings and Return Ranking Word Regions with Only One Look -- Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement -- FootNet: An efficient convolutional network for multiview 3D foot reconstruction -- Synthetic-to-real domain adaptation for lane detection -- RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations -- DoFNet: Depth of Field Difference Learning for Detecting Image Forgery -- Explaining image classifiers by removing input features using generative models -- Do We Need Sound for Sound Source Localization? -- Modular Graph Attention Network for Complex Visual Relational Reasoning -- CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON -- Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion -- ^Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation -- Sketch-to-Art: Synthesizing Stylized Art Images From Sketches -- Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion -- Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization -- Watch, read and lookup: learning to spot signs from multiple supervisors -- Domain-transferred Face Augmentation Network -- Pose Correction Algorithm for Relative Frames between Keyframes in SLAM -- Dense-Scale Feature Learning in Person Re-Identification -- Class-incremental Learning with Rectified Feature-Graph Preservation -- Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation -- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features -- ^Visually Guided Sound Source Separation using Cascaded Opponent Filter Network -- Channel Recurrent Attention Networks for Video Pedestrian Retrieval -- In Defense of LSTMs for Addressing Multiple Instance Learning Problems -- Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score -- Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information -- Datasets and Performance Analysis -- RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network -- Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning -- Compensating for the Lack of Extra Training Data by Learning Extra Representation -- Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance -- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets -- Pre-training without Natural Images -- TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines -- ^A Day on Campus -- An Anomaly Detection Dataset for Events in a Single Camera -- A Benchmark and Baseline for Language-Driven Image Editing -- Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters -- Understanding Motion in Sign Language: A New Structured Translation Dataset -- FreezeNet: Full Performance by Reduced Storage Costs.
001434641 506__ $$aAccess limited to authorized users.
001434641 520__ $$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.
001434641 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
001434641 650_0 $$aComputer vision$$vCongresses.
001434641 650_0 $$aOptical data processing.
001434641 650_0 $$aComputers.
001434641 650_0 $$aArtificial intelligence.
001434641 650_0 $$aPattern perception.
001434641 650_0 $$aApplication software.
001434641 650_6 $$aVision par ordinateur$$vCongrès.
001434641 650_6 $$aTraitement optique de l'information.
001434641 650_6 $$aOrdinateurs.
001434641 650_6 $$aIntelligence artificielle.
001434641 650_6 $$aPerception des structures.
001434641 650_6 $$aLogiciels d'application.
001434641 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434641 655_7 $$aConference papers and proceedings.$$2lcgft
001434641 655_7 $$aActes de congrès.$$2rvmgf
001434641 655_0 $$aElectronic books.
001434641 7001_ $$aIshikawa, Hiroshi,$$eeditor.
001434641 7001_ $$aLiu, Cheng-Lin,$$eeditor.
001434641 7001_ $$aPajdla, Tomáš,$$eeditor.
001434641 7001_ $$aShi, Jianbo,$$eeditor.
001434641 77608 $$iPrint version:$$z9783030695439
001434641 77608 $$iPrint version:$$z9783030695453
001434641 830_0 $$aLecture notes in computer science ;$$v12627.
001434641 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001434641 852__ $$bebk
001434641 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69544-6$$zOnline Access$$91397441.1
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001434641 980__ $$aBIB
001434641 980__ $$aEBOOK
001434641 982__ $$aEbook
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