CONTEXT

Learned Satellite Clusters

Results - Satellite Prior: Detector Only Posterior: TAS Model Region Labels

Results - Satellite

Results – PASCAL Good examples –Discover “true positives” –Remove “false positives”

Results – VOC 2005 Motorbike Car Bicycle People

Results – VOC 2006 Cow Sheep

LOOPS

Giraffe Classification Accuracy # Training Examples LOOPS + Logistic Centroid Naive Bayes GROUND + Logistic

Giraffe Classification Accuracy # Training Examples LOOPS + Logistic LOOPS + NN LOOPS + SVM

Cheetah Classification Accuracy # Training Examples

Cheetah Classification Accuracy # Training Examples

Airplane Classification Accuracy # Training Examples

Airplane Classification Accuracy # Training Examples

Lamp Shade LOOPS + Logistic Centroid Naive Bayes GROUND + Logistic Classification Accuracy # Training Examples

Lamp Shade LOOPS + Logistic LOOPS + NN LOOPS + SVM Classification Accuracy # Training Examples

Lamp Base Classification Accuracy # Training Examples

Lamp Base Classification Accuracy # Training Examples

Overlap - Caltech AirplaneBassBuddhaRooster Centroid LOOPS Overlap Score

Overlap - Mammals BisonDeerEle. Gir Overlap Score LlamaRhino

Centroid Landmark LOOPS Landmark Success AirplaneBassBuddhaRooster

BisonDeerEle. Gir. LlamaRhino Landmark Success

-1 std +1 std Mean Correspondence (a) Section 3 Simple Training Outlines Corresponded Outlines LOOPS Model Localized Test Outlines Descriptive Classification UP DOWN Boosted Detectors (b) Section 4.2 Shape Model (b) Section 4.1 Discrete Inference (c) Section 5 Refinement (c) Section 5 Shape Classification (d) Section 6.2 DownUp

SHAPE COLOR

Full Airplane ClusterZoomed in Tails

Tail Cluster (White)Tail Cluster (Red)