rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computer Vision - ECCV 2020 Workshops
    sub title: Glasgow, UK, August 23-28, 2020, Proceedings, Part VI
  name:
    name part: Bartoli, Adrien.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Fusiello, Andrea.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2020
    edition: 1st ed. 2020.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXVI, 560 pages 195 illustrations, 188 illustrations in color.)
  abstract: The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part VI focusses on reassessing the evaluation of object detection; computer vision problems in plant phenotyping; fair face recognition and analysis; and perception through structured generative models.
  table of contents: W36 - Beyond mAP: Reassessing the Evaluation of Object Detection -- Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection -- Implementing Planning KL-Divergence -- ODIN: an Object Detection and Instance Segmentation Diagnosis Framework -- Shift Equivariance in Object Detection -- Probabilistic Object Detection with an Ensemble of Experts -- EPrOD: Evolved Probabilistic Object Detector with Diverse Samples -- Probabilistic Object Detection via Deep Ensembles -- W37 - Imbalance Problems in Computer Vision -- A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues -- Remix: Rebalanced Mixup -- Generalized Many-Way Few-Shot Video Classification -- GAN-Based Anomaly Detection in Imbalance Problems -- Active Class Incremental Learning for Imbalanced Datasets -- Knowledge Distillation for Multi-task Learning -- Mitigating Dataset Imbalance via Joint Generation and Classification -- W40 - Computer Vision Problems in Plant Phenotyping -- Patch-based CNN evaluation for bark classification -- Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation -- Time Series Modeling for Phenotypic Prediction and PhenotypeGenotype Mapping using Neural Networks -- 3D Plant Phenotyping: All You Need is Labelled Point Cloud Data -- Phenotyping problems of parts-per-object count -- Abiotic Stress Prediction from RGB-T Images of Banana Plantlets -- Sorghum Segmentation by Skeleton Extraction -- Towards Confirmable Automated Plant Cover Determination -- Unsupervised Domain Adaptation For Plant Organ Counting -- Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks -- Germination Detection of Seedlings in Soil: A System, Dataset and Challenge -- Detection in agricultural contexts: Are we close to human level -- AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images -- CorNe…
  note: edited by Adrien Bartoli, Andrea Fusiello.
  subject:
    topic: Optical data processing
  subject:
    topic: Machine learning
  subject:
    topic: Pattern recognition
  subject:
    topic: Application software
  subject:
    topic: Computer organization
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Machine Learning
  subject:
    topic: Pattern Recognition
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Computer Systems Organization and Communication Networks
  classification: TA1630-1650
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12540
  identifier: 9783030654146
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210104
    record change date: 20230330184758.4
    record identifier: in00004432638