The proceedings contain 2072 papers. The topics discussed include: clipped hyperbolic classifiers are super-hyperbolic classifiers;efficient deep embedded subspace clustering;noise is also useful: negative correlation...
ISBN:
(纸本)9781665469463
The proceedings contain 2072 papers. The topics discussed include: clipped hyperbolic classifiers are super-hyperbolic classifiers;efficient deep embedded subspace clustering;noise is also useful: negative correlation-steered latent contrastive learning;active learning for open-set annotation;understanding and increasing efficiency of Frank-Wolfe adversarial training;robust optimization as data augmentation for large-scale graphs;a re-balancing strategy for class-imbalanced classification based on instance difficulty;the devil is in the margin: margin-based label smoothing for network calibration;towards better plasticity-stability trade-off in incremental learning: a simple linear connector;learning Bayesian sparse networks with full experience replay for continual learning;a variational Bayesian method for similarity learning in non-rigid image registration;learning to learn by jointly optimizing neural architecture and weights;learning to prompt for continual learning;multi-frame self-supervised depth with transformers;and rethinking Bayesian deep learning methods for semi-supervised volumetric medical image segmentation.
The proceedings contain 466 papers. The topics discussed include: shape, albedo, and illumination from a single image of an unknown object;robust photometric stereo using sparse regression;2.5D building modeling by di...
ISBN:
(纸本)9781467312264
The proceedings contain 466 papers. The topics discussed include: shape, albedo, and illumination from a single image of an unknown object;robust photometric stereo using sparse regression;2.5D building modeling by discovering global regularities;angular domain reconstruction of dynamic 3D fluid surfaces;example-based 3D object reconstruction from line drawings;robust stereo with flash and no-flash image pairs;progressive graph matching: making a move of graphs via probabilistic voting;affine-invariant, elastic shape analysis of planar contours;jigsaw puzzles with pieces of unknown orientation;accidental pinhole and pinspeck cameras: revealing the scene outside the picture;decomposing global light transport using time of flight imaging;from pixels to physics: probabilistic color de-rendering;the shape Boltzmann machine: a strong model of object shape;discrete texture traces: topological representation of geometric context;and cross-based local multipoint filtering.
The cvpr 2020 is dedicated to computervision and patternrecognition including color detection,tracking,motion,object recognition,stereo and object *** cvpr 2020 covers topics such as:Segmentation and Grouping,Motion...
详细信息
The cvpr 2020 is dedicated to computervision and patternrecognition including color detection,tracking,motion,object recognition,stereo and object *** cvpr 2020 covers topics such as:Segmentation and Grouping,Motion and Tracking,Human recognition,Shape-from-X,Stereo and Structure from Motion,Color and Texture,Illumination and Reflectance Modeling,Image-Based Modeling,Sensors,Shape Representation and Matching,Computational Photography and Video,Early and Biologically-Inspired vision,Video Analysis and Event recognition,Optimization Methods,Face and Gesture Analysis,Video Surveillance,Scene Understanding,Image and Video Retrieval,Medical Image Analysis,vision for Robotics,vision for Graphics,Statistical Methods and Learning,Applications of computervision,Document Analysis,Object recognition/Detection/Categorization.
This Volume 2 of the conference proceedings contains 95 papers. Topics discussed include robot localization and navigation, video, learning and statistical methods, vision for graphics, reflectance modeling, calibrati...
详细信息
This Volume 2 of the conference proceedings contains 95 papers. Topics discussed include robot localization and navigation, video, learning and statistical methods, vision for graphics, reflectance modeling, calibration and structure from motion, tracking, recognition, three dimensional reconstruction, fingerprint recognition and registration and alignment.
The proceedings contains 97 papers. The following topics are dealt with: edge detection;shape derivation;feature extraction;motion;morphology and neural networks;range data;image and texture segmentation;polarization ...
详细信息
ISBN:
(纸本)081861952x
The proceedings contains 97 papers. The following topics are dealt with: edge detection;shape derivation;feature extraction;motion;morphology and neural networks;range data;image and texture segmentation;polarization cues;stereo vision;methodology and standards;object recognition;navigation;preprocessing and computer architectures.
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic...
ISBN:
(纸本)0818628553
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic algorithm;model based region segmentation using co-occurrence matrices;morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis;edge detection in range images through morphological residue analysis;morphological decomposition of restricted domains: a vector space solution;spatial reasoning based on multivariate belief functions;analysis of the least median of squares estimator for computervision applications;and image segmentation via edge contour finding: a graph theoretic approach.
The proceedings contain 167 papers. The topics discussed include: incremental learning of object detectors using a visual shape alphabet;multiclass object recognition with sparse, localized features;unsupervised learn...
详细信息
ISBN:
(纸本)0769525970
The proceedings contain 167 papers. The topics discussed include: incremental learning of object detectors using a visual shape alphabet;multiclass object recognition with sparse, localized features;unsupervised learning of categories from sets of partially matching image features;the layout consistent random random field for recognizing and segmenting partially occluded objects;ultrasound-specific segmentation via correlation and statistical region-based active contours;principled hybrids of generative and discriminative models;a comic section classifier and its application to image datasets;learning non-metric partial similarity based on maximal margin criterion;distributed cost boosting on mis-classification cost;equivalence of non-iterative algorithms for simultaneous low rank approximations of matrices;and semi-supervised classification using liner neighborhood propagation.
暂无评论