Taxonomic multi-class prediction and person layout using efficient structured ranking

Taxonomic multi-class prediction and person layout using efficient structured ranking

In computer vision efficient multi-class classification is becoming a key problem as the field develops and the number of object classes to be identified increases. Often objects might have some sort of structure such as a taxonomy in which the mis-classification score for object classes close by, u...

書目詳細資料
Main Authors:	Mittal, A, Blaschko, MB, Zisserman, A, Torr, PHS
格式:	Conference item
語言:	English
出版:	Springer 2012

相似書籍

Simultaneous object detection and ranking with weak supervision
由: Blaschko, MB, et al.
出版: (2011)

Hand detection using multiple proposals
由: Mittal, A, et al.
出版: (2011)

Efficient discriminative learning of parts-based models
由: Kumar, MP, et al.
出版: (2010)

OBJCUT: efficient segmentation using top-down and bottom-up cues
由: Kumar, MP, et al.
出版: (2009)

Feature based methods for structure and motion estimation
由: Torr, PHS, et al.
出版: (2002)

Learning class-specific edges for object detection and segmentation
由: Prasad, M, et al.
出版: (2006)

Robust parameterization and computation of the trifocal tensor
由: Torr, PHS, et al.
出版: (1998)

Concerning Bayesian motion segmentation, model averaging, matching and the trifocal tensor
由: Torr, PHS, et al.
出版: (2006)

MLESAC: a new robust estimator with application to estimating image geometry
由: Torr, PHS, et al.
出版: (2000)

Extending pictorial structures for object recognition
由: Kumar, MP, et al.
出版: (2004)

Continual learning in low-rank orthogonal subspaces
由: Chaudhry, A, et al.
出版: (2020)

The problem of degeneracy in structure and motion recovery from uncalibrated image sequences
由: Torr, PHS, et al.
出版: (1999)

Proposal generation for object detection using cascaded ranking SVMs
由: Zhang, Z, et al.
出版: (2011)

Latent SVMs for human detection with a locally affine deformation field
由: Ladický, L, et al.
出版: (2012)

Robust detection of degenerate configurations for the fundamental matrix
由: Torr, PHS, et al.
出版: (2002)

An object category specific mrf for segmentation
由: Kumar, MP, et al.
出版: (2007)

Motion clustering using the trilinear constraint over three views
由: Torr, PHS, et al.
出版: (1995)

Obj cut
由: Kumar, MP, et al.
出版: (2005)

Learning layered motion segmentations of video
由: Kumar, MP, et al.
出版: (2005)

An invariant large margin nearest neighbour classifier
由: Kumar, MP, et al.
出版: (2007)

Solving Markov random fields using second order cone programming relaxations
由: Kumar, MP, et al.
出版: (2006)

Robust detection of degenerate configurations while estimating the fundamental matrix
由: Torr, PHS, et al.
出版: (1998)

Reduce, reuse and recycle: efficiently solving multi-label MRFs
由: Alahari, K, et al.
出版: (2008)

Learning equivariant structured output SVM regressors
由: Vedaldi, A, et al.
出版: (2012)

A six point solution for structure and motion
由: Schaffalitzky, F, et al.
出版: (2003)

Cooperating motion processes
由: Torr, PHS, et al.
出版: (1991)

Learning layered motion segmentations of video
由: Pawan Kumar, M, et al.
出版: (2007)

Efficient online structured output learning for keypoint-based object tracking
由: Hare, S, et al.
出版: (2012)

Discovering class-specific pixels for weakly-supervised semantic segmentation
由: Chaudhry, A, et al.
出版: (2017)

Efficiently solving convex relaxations for MAP estimation
由: Kumar, MP, et al.
出版: (2008)

Fast memory-efficient generalized belief propagation
由: Kumar, MP, et al.
出版: (2006)

The Taxonomic Gaze in Contemporary Italian Poetry. Bulleted Lists, Layouts and Margins
由: Samuele Fioravanti
出版: (2023-12-01)

Human layout estimation using structured output learning
由: Mittal, A
出版: (2012)

Multi-class object layout with unsupervised image classification and object localization
由: Lim, S, et al.
出版: (2011)

Dynamic graph cuts for efficient inference in Markov random fields
由: Kohli, P, et al.
出版: (2007)

From Island Biogeography to Conservation: A Multi-Taxon and Multi-Taxonomic Rank Approach in the Tuscan Archipelago
由: Enrico Ruzzier, et al.
出版: (2021-05-01)

Efficiently solving dynamic Markov random fields using graph cuts
由: Kohli, P, et al.
出版: (2005)

Layout-expectation-based model for image search re-ranking
由: Jin, Bin, et al.
出版: (2013)

k-mer Similarity, Networks of Microbial Genomes, and Taxonomic Rank
由: Guillaume Bernard, et al.
出版: (2018-10-01)

Associative hierarchical CRFs for object class image segmentation
由: Ladický, L, et al.
出版: (2009)