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001451206 001__ 1451206
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001451206 019__ $$a1348923070$$a1350686152
001451206 020__ $$a9783031200533$$q(electronic bk.)
001451206 020__ $$a3031200535$$q(electronic bk.)
001451206 020__ $$z9783031200526
001451206 020__ $$z3031200527
001451206 0247_ $$a10.1007/978-3-031-20053-3$$2doi
001451206 035__ $$aSP(OCoLC)1350794502
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001451206 049__ $$aISEA
001451206 050_4 $$aTA1634
001451206 08204 $$a006.3/7$$223/eng/20221115
001451206 1112_ $$aEuropean Conference on Computer Vision$$n(17th :$$d2022 :$$cTel Aviv, Israel)
001451206 24510 $$aComputer vision -- ECCV 2022 :$$b17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.$$nPart XXIV /$$cShai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner (eds.).
001451206 2463_ $$aECCV 2022
001451206 264_1 $$aCham :$$bSpringer,$$c2022.
001451206 300__ $$a1 online resource :$$billustrations (black and white).
001451206 336__ $$atext$$btxt$$2rdacontent
001451206 337__ $$acomputer$$bc$$2rdamedia
001451206 338__ $$aonline resource$$bcr$$2rdacarrier
001451206 4901_ $$aLecture notes in computer science ;$$v13684
001451206 500__ $$aSelected conference papers.
001451206 500__ $$aIncludes author index.
001451206 5050_ $$aImproving Vision Transformers by Revisiting High-Frequency Components -- Recurrent Bilinear Optimization for Binary Neural Networks -- Neural Architecture Search for Spiking Neural Networks -- Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification -- DaViT: Dual Attention Vision Transformers -- Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification -- Locality Guidance for Improving Vision Transformers on Tiny Datasets -- Neighborhood Collective Estimation for Noisy Label Identification and Correction -- Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay -- Anti-Retroactive Interference for Lifelong Learning -- Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning -- Dynamic Metric Learning with Cross-Level Concept Distillation -- MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing -- Out-of-Distribution Detection with Boundary Aware Learning -- Learning Hierarchy Aware Features for Reducing Mistake Severity -- Learning to Detect Every Thing in an Open World -- KVT: k-NN Attention for Boosting Vision Transformers -- Registration Based Few-Shot Anomaly Detection -- Improving Robustness by Enhancing Weak Subnets -- Learning Invariant Visual Representations for Compositional Zero-Shot Learning -- Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality -- Out-of-Distribution Detection with Semantic Mismatch under Masking -- Data-Free Neural Architecture Search via Recursive Label Calibration -- Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion -- Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels -- AutoMix: Unveiling the Power of Mixup for Stronger Classifiers -- MaxViT: Multi-axis Vision Transformer -- ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer -- Three Things Everyone Should Know about Vision Transformers -- DeiT III: Revenge of the ViT -- MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition -- Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition -- Novel Class Discovery without Forgetting -- SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification -- Negative Samples Are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification -- Discrete-Constrained Regression for Local Counting Models -- Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition -- Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection -- A Fast Knowledge Distillation Framework for Visual Recognition -- DICE: Leveraging Sparsification for Out-of-Distribution Detection -- Invariant Feature Learning for Generalized Long-Tailed Classification -- Sliced Recursive Transformer.
001451206 506__ $$aAccess limited to authorized users.
001451206 520__ $$aThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 2327, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
001451206 588__ $$aDescription based on print version record.
001451206 650_0 $$aComputer vision$$vCongresses.
001451206 650_0 $$aPattern recognition systems$$vCongresses.
001451206 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001451206 655_0 $$aElectronic books.
001451206 7001_ $$aAvidan, Shai,$$eeditor.
001451206 7001_ $$aBrostow, Gabriel,$$eeditor.
001451206 7001_ $$aCissé, Moustapha,$$eeditor.
001451206 7001_ $$aFarinella, Giovanni Maria,$$eeditor.$$1https://isni.org/isni/0000000096390891
001451206 7001_ $$aHassner, Tal,$$eeditor.
001451206 77608 $$iPrint version:$$aEuropean Conference on Computer Vision (17th : 2022 : Tel Aviv, Israel), creator.$$tComputer vision - ECCV 2022 : Part XXIV.$$dCham : Springer Nature Switzerland, 2022$$z9783031200526$$w(OCoLC)1346926062
001451206 830_0 $$aLecture notes in computer science ;$$v13684.
001451206 852__ $$bebk
001451206 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20053-3$$zOnline Access$$91397441.1
001451206 909CO $$ooai:library.usi.edu:1451206$$pGLOBAL_SET
001451206 980__ $$aBIB
001451206 980__ $$aEBOOK
001451206 982__ $$aEbook
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