The 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 23–27, 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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Codice articolo POD-336490
Quantità: 10 disponibili
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Condizione: new. Questo è un articolo print on demand. Codice articolo OWUBD6FDGB
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9783031200526_new
Quantità: Più di 20 disponibili
Da: Chiron Media, Wallingford, Regno Unito
PF. Condizione: New. Codice articolo 6666-IUK-9783031200526
Quantità: 10 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 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 23-27, 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. 804 pp. Englisch. Codice articolo 9783031200526
Quantità: 2 disponibili
Da: moluna, Greven, Germania
Condizione: New. Codice articolo 715555367
Quantità: Più di 20 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. Codice articolo V9783031200526
Quantità: 15 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Computer Vision - ECCV 2022 | 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIV | Shai Avidan (u. a.) | Taschenbuch | Lecture Notes in Computer Science | lvi | Englisch | 2022 | Springer | EAN 9783031200526 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 125010476
Quantità: 5 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP. Codice articolo 26396295464
Quantità: 4 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Improving 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 forGeneralized Long-Tailed Classification.- Sliced Recursive Transformer.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 804 pp. Englisch. Codice articolo 9783031200526
Quantità: 1 disponibili