1 / 16

0.4

Giraffe. 1. 0.8. Accuracy. NB. 0.6. CENT. LOOPS. GROUND. 0.4. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. # Training Instances (per class). cheetah. 1. 0.8. Accuracy. 0.6. 0.4. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. # Training Instances (per class). airplane. 1. 0.8. Accuracy.

lefty
Download Presentation

0.4

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Giraffe 1 0.8 Accuracy NB 0.6 CENT LOOPS GROUND 0.4 1 2 3 4 5 6 7 8 9 10 # Training Instances (per class)

  2. cheetah 1 0.8 Accuracy 0.6 0.4 1 2 3 4 5 6 7 8 9 10 # Training Instances (per class)

  3. airplane 1 0.8 Accuracy 0.6 0.4 1 2 3 4 5 6 7 8 9 10 # Training Instances (per class)

  4. Lamp thinfat 1 0.8 Accuracy 0.6 0.4 1 2 3 4 5 6 7 8 9 10 # Training Instances (per class)

  5. Lamp trisq 1 0.8 Accuracy 0.6 0.4 1 2 3 4 5 6 7 8 9 10 # Training Instances (per class)

  6. Overlap - Caltech 1 Centroid LOOPS 0.9 0.8 Overlap Score 0.7 0.6 0.5 Airplane Bass Buddha Rooster

  7. Overlap - Mammals 1 0.9 0.8 Overlap Score 0.7 0.6 0.5 Llama Rhino Gir. Bison Deer Ele.

  8. 0.8 Centroid Landmark 0.7 LOOPS 0.6 Landmark Success 0.5 0.4 0.3 Airplane Bass Buddha Rooster

  9. 0.8 0.7 0.6 Landmark Success 0.5 0.4 0.3 Llama Rhino Gir. Bison Deer Ele.

  10. BASE TARGET Cost(311) = 0.397 Cost(152) = 1.223

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

More Related