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CONTEXT. Learned Satellite Clusters Results - Satellite Prior: Detector Only Posterior: TAS Model Region Labels.

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Presentation on theme: "CONTEXT. Learned Satellite Clusters Results - Satellite Prior: Detector Only Posterior: TAS Model Region Labels."— Presentation transcript:

1 CONTEXT

2 Learned Satellite Clusters

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

4 Results - Satellite

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

6 Results – VOC 2005 Motorbike Car Bicycle People

7 Results – VOC 2006 Cow Sheep

8 LOOPS

9 Giraffe 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples LOOPS + Logistic Centroid Naive Bayes GROUND + Logistic

10 Giraffe 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples LOOPS + Logistic LOOPS + NN LOOPS + SVM

11 Cheetah 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

12 Cheetah 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

13 Airplane 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

14 Airplane 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

15 Lamp Shade 0246810 0.4 0.6 0.8 1 LOOPS + Logistic Centroid Naive Bayes GROUND + Logistic Classification Accuracy # Training Examples

16 Lamp Shade 0246810 0.4 0.6 0.8 1 LOOPS + Logistic LOOPS + NN LOOPS + SVM Classification Accuracy # Training Examples

17 Lamp Base 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

18 Lamp Base 0246810 0.4 0.6 0.8 1 Classification Accuracy # Training Examples

19 Overlap - Caltech AirplaneBassBuddhaRooster 0.5 0.6 0.7 0.8 0.9 1 Centroid LOOPS Overlap Score

20 Overlap - Mammals BisonDeerEle. Gir. 0.5 0.6 0.7 0.8 0.9 1 Overlap Score LlamaRhino

21 0.3 0.4 0.5 0.6 0.7 0.8 Centroid Landmark LOOPS Landmark Success AirplaneBassBuddhaRooster

22 0.3 0.4 0.5 0.6 0.7 0.8 BisonDeerEle. Gir. LlamaRhino Landmark Success

23 -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

24 SHAPE COLOR

25 Full Airplane ClusterZoomed in Tails

26 Tail Cluster (White)Tail Cluster (Red)


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