1. 12345678910 0.4 0.6 0.8 1 Accuracy # Training Instances (per class) Giraffe NB CENT LOOPS GROUND

2. 12345678910 0.4 0.6 0.8 1 Accuracy # Training Instances (per class) cheetah

3. 12345678910 0.4 0.6 0.8 1 Accuracy # Training Instances (per class) airplane

4. 12345678910 0.4 0.6 0.8 1 Accuracy # Training Instances (per class) Lamp thinfat

5. 12345678910 0.4 0.6 0.8 1 Accuracy # Training Instances (per class) Lamp trisq

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

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

8. 0.3 0.4 0.5 0.6 0.7 0.8 Centroid Landmark LOOPS Landmark Success AirplaneBassBuddhaRooster

9. 0.3 0.4 0.5 0.6 0.7 0.8 BisonDeerEle. Gir. LlamaRhino Landmark Success

12. Cost(311) = 0.397Cost(152) = 1.223 BASETARGET

16. -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