Search Results for author: Steve Branson

Found 9 papers, 0 papers with code

From Google Maps to a Fine-Grained Catalog of Street trees

no code implementations7 Oct 2019 Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona

We believe this is the first work to exploit publicly available image data for fine-grained tree mapping at city-scale, respectively over many thousands of trees.

Lean Multiclass Crowdsourcing

no code implementations CVPR 2018 Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona

We introduce a method for efficiently crowdsourcing multiclass annotations in challenging, real world image datasets.

Lean Crowdsourcing: Combining Humans and Machines in an Online System

no code implementations CVPR 2017 Steve Branson, Grant van Horn, Pietro Perona

We develop specialized models and algorithms for binary annotation, part keypoint annotation, and sets of bounding box annotations.

Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection

no code implementations CVPR 2015 Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge Belongie

We worked with bird experts to measure the quality of popular datasets like CUB-200-2011 and ImageNet and found class label error rates of at least 4%.

Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

no code implementations11 Jun 2014 Steve Branson, Grant van Horn, Serge Belongie, Pietro Perona

We perform a detailed investigation of state-of-the-art deep convolutional feature implementations and fine-tuning feature learning for fine-grained classification.

Classification Clustering +2

Similarity Comparisons for Interactive Fine-Grained Categorization

no code implementations CVPR 2014 Catherine Wah, Grant van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie

Current human-in-the-loop fine-grained visual categorization systems depend on a predefined vocabulary of attributes and parts, usually determined by experts.

Attribute Fine-Grained Visual Categorization +3

Active Annotation Translation

no code implementations CVPR 2014 Steve Branson, Kristjan Eldjarn Hjorleifsson, Pietro Perona

Human annotators may be thought of as helping translate the old annotations into the new ones.

Attribute Translation

Efficient Large-Scale Structured Learning

no code implementations CVPR 2013 Steve Branson, Oscar Beijbom, Serge Belongie

Our method is shown to be 10-50 times faster than SVMstruct for cost-sensitive multiclass classification while being about as fast as the fastest 1-vs-all methods for multiclass classification.

Binary Classification Classification +3

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