001451212 000__ 06282cam\a2200613\i\4500 001451212 001__ 1451212 001451212 003__ OCoLC 001451212 005__ 20230310004648.0 001451212 006__ m\\\\\o\\d\\\\\\\\ 001451212 007__ cr\cn\nnnunnun 001451212 008__ 221115s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001451212 019__ $$a1350416890 001451212 020__ $$a9783031200809$$q(electronic bk.) 001451212 020__ $$a3031200802$$q(electronic bk.) 001451212 020__ $$z9783031200793 001451212 020__ $$z3031200799 001451212 0247_ $$a10.1007/978-3-031-20080-9$$2doi 001451212 035__ $$aSP(OCoLC)1350794748 001451212 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL 001451212 049__ $$aISEA 001451212 050_4 $$aTA1634 001451212 08204 $$a006.3/7$$223/eng/20221115 001451212 1112_ $$aEuropean Conference on Computer Vision$$n(17th :$$d2022 :$$cTel Aviv, Israel) 001451212 24510 $$aComputer vision -- ECCV 2022 :$$b17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.$$nPart X /$$cShai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner (eds.). 001451212 2463_ $$aECCV 2022 001451212 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022. 001451212 300__ $$a1 online resource :$$billustrations (black and white). 001451212 336__ $$atext$$btxt$$2rdacontent 001451212 337__ $$acomputer$$bc$$2rdamedia 001451212 338__ $$aonline resource$$bcr$$2rdacarrier 001451212 4901_ $$aLecture notes in computer science ;$$v13670 001451212 500__ $$aSelected conference papers. 001451212 500__ $$aIncludes author index. 001451212 5050_ $$aDFNet: Enhance Absolute Pose Regression with Direct Feature Matching -- Cornerformer: Purifying Instances for Corner-Based Detectors -- Robust Object Detection with Inaccurate Bounding Boxes -- Efficient Decoder-Free Object Detection with Transformers -- Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection -- ReAct: Temporal Action Detection with Relational Queries -- Towards Accurate Active Camera Localization -- Camera Pose Auto-Encoders for Improving Pose Regression -- Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining -- Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization -- UC-OWOD: Unknown-Classified Open World Object Detection -- RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers -- GTCaR: Graph Transformer for Camera Re-Localization -- 3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone -- Open Vocabulary Object Detection with Pseudo Bounding-Box Labels -- Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations -- SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection -- ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement -- Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting -- Long-Tailed Instance Segmentation Using Gumbel Optimized Loss -- DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection -- ObjectBox: From Centers to Boxes for Anchor-Free Object Detection -- Is Geometry Enough for Matching in Visual Localization? -- SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds -- PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry -- GLAMD: Global and Local Attention Mask Distillation for Object Detectors -- FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection -- Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles -- Class-Agnostic Object Detection with Multi-modal Transformer -- Enhancing Multi-modal Features Using Local Self-Attention for 3D Object Detection -- Object Detection As Probabilistic Set Prediction -- Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions -- Neural Correspondence Field for Object Pose Estimation -- On Label Granularity and Object Localization -- OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search -- Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure -- Learning with Free Object Segments for Long-Tailed Instance Segmentation -- Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction -- 3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization -- A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation -- Simple Open-Vocabulary Object Detection with Vision Transformers. 001451212 506__ $$aAccess limited to authorized users. 001451212 520__ $$aThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 2327, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. 001451212 588__ $$aDescription based on print version record. 001451212 650_0 $$aComputer vision$$vCongresses. 001451212 650_0 $$aPattern recognition systems$$vCongresses. 001451212 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001451212 655_0 $$aElectronic books. 001451212 7001_ $$aAvidan, Shai,$$eeditor. 001451212 7001_ $$aBrostow, Gabriel,$$eeditor. 001451212 7001_ $$aCissé, Moustapha,$$eeditor. 001451212 7001_ $$aFarinella, Giovanni Maria,$$eeditor.$$1https://isni.org/isni/0000000096390891 001451212 7001_ $$aHassner, Tal,$$eeditor. 001451212 77608 $$iPrint version:$$aEuropean Conference on Computer Vision (17th : 2022 : Tel Aviv, Israel), creator.$$tComputer vision - ECCV 2022 : Part X.$$dCham : Springer Nature Switzerland, 2022$$z9783031200793$$w(OCoLC)1346935181 001451212 830_0 $$aLecture notes in computer science ;$$v13670. 001451212 852__ $$bebk 001451212 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20080-9$$zOnline Access$$91397441.1 001451212 909CO $$ooai:library.usi.edu:1451212$$pGLOBAL_SET 001451212 980__ $$aBIB 001451212 980__ $$aEBOOK 001451212 982__ $$aEbook 001451212 983__ $$aOnline 001451212 994__ $$a92$$bISE