Table 5.
Per-class nearest neighbor retrieval performance on Princeton dataset
| Class | LFD | Our method |
|---|---|---|
| Aircraft_airplane_F117 | 1 | 0 |
| Aircraft_airplane_biplane | 0.929 | 0.571 |
| Aircraft_airplane_commercial | 0.9 | 0.6 |
| Aircraft_airplane_fighter_jet | 0.92 | 0.84 |
| Aircraft_airplane_multi_fuselage | 0.857 | 0.143 |
| Aircraft_balloonvehicle_dirigible | 0.714 | 0.429 |
| Aircraft_helicopter | 0.412 | 0.176 |
| Aircraft_spaceship_enterprise_like | 1 | 0.818 |
| Aircraft_spaceship_space_shuttle | 1 | 0.833 |
| Aircraft_spaceship_x_wing | 1 | 0.8 |
| Animal_arthropod_insect_bee | 0.25 | 0.25 |
| Animal_arthropod_spider | 1 | 0.818 |
| Animal_biped_human | 0.86 | 0.66 |
| Animal_biped_human_human_arms_out | 0.952 | 0.381 |
| Animal_biped_trex | 0.667 | 0.833 |
| Animal_flying_creature_bird_duck | 0.4 | 0.2 |
| Animal_quadruped_apatosaurus | 0.75 | 0.25 |
| Animal_quadruped_feline | 1 | 0.5 |
| Animal_quadruped_pig | 0 | 0 |
| Animal_underwater_creature_dolphin | 0.8 | 1 |
| Animal_underwater_creature_shark | 0.714 | 0.571 |
| Blade_butcher_knife | 1 | 0.5 |
| Blade_sword | 0.8 | 0.467 |
| Body_part_brain | 0.714 | 0.857 |
| Body_part_face | 0.588 | 0.412 |
| Body_part_head | 0.812 | 0.75 |
| Body_part_skeleton | 0.8 | 0.4 |
| Body_part_torso | 0.75 | 0.75 |
| Bridge | 0.4 | 0.2 |
| Building_castle | 0.143 | 0 |
| Building_dome_church | 0.308 | 0 |
| Building_lighthouse | 0 | 0 |
| Building_roman_building | 0.333 | 0 |
| Building_tent_multiple_peak_tent | 0.2 | 0.2 |
| Building_two_story_home | 0.364 | 0.273 |
| Chess_piece | 0.941 | 0.471 |
| Chest | 0.714 | 0 |
| City | 0.6 | 0.3 |
| Computer_laptop | 0.5 | 0 |
| Display_device_tv | 0.167 | 0 |
| Door_double_doors | 0.8 | 0.3 |
| Fantasy_animal_dragon | 0.333 | 0.167 |
| Furniture_bed | 0.5 | 0.25 |
| Furniture_desk_desk_with_hutch | 0.857 | 0.429 |
| Furniture_seat_chair_dining_chair | 0.909 | 0.455 |
| Furniture_seat_couch | 0.733 | 0.267 |
| Furniture_seat_chair_stool | 0.571 | 0 |
| Furniture_shelves | 0.846 | 0.538 |
| Furniture_table_rectangular | 0.692 | 0.423 |
| Furniture_table_round | 0.75 | 0.333 |
| Furniture_table_and_chairs | 1 | 0.4 |
| Gun_handgun | 0.9 | 0.3 |
| Gun_rifle | 0.842 | 0.526 |
| Hat_helmet | 0.6 | 0.1 |
| Ice_cream | 0.667 | 0.417 |
| Lamp_desk_lamp | 0.857 | 0.429 |
| Liquid_container_bottle | 0.667 | 0.5 |
| Liquid_container_mug | 0.857 | 0 |
| Liquid_container_tank | 0 | 0 |
| Liquid_container_vase | 0.182 | 0.091 |
| Microchip | 0.857 | 0.571 |
| Musical_instrument_guitar_acoustic_guitar | 1 | 0.75 |
| Musical_instrument_piano | 0.833 | 0.5 |
| Phone_handle | 0.75 | 0.5 |
| Plant_flower_with_stem | 0.2 | 0.067 |
| Plant_potted_plant | 0.8 | 0.52 |
| Plant_tree | 0.765 | 0.647 |
| Plant_tree_barren | 0.455 | 0.182 |
| Plant_tree_palm | 0.6 | 0.4 |
| Sea_vessel_sailboat | 0.8 | 0.2 |
| Sea_vessel_sailboat_sailboat_with_oars | 0.75 | 0.25 |
| Sea_vessel_ship | 0.5 | 0.8 |
| Shoe | 0.75 | 0.625 |
| Sign_street_sign | 0.583 | 0.5 |
| Skateboard | 1 | 0.2 |
| Snowman | 0.5 | 0 |
| Swingset | 1 | 0.25 |
| Tool_screwdriver | 0.8 | 0.4 |
| Tool_wrench | 0.75 | 0.75 |
| Vehicle_car_antique_car | 0.4 | 0.2 |
| Vehicle_car_sedan | 0.6 | 0.4 |
| Vehicle_car_sports_car | 0.684 | 0.526 |
| Vehicle_cycle_bicycle | 1 | 0.857 |
| Vehicle_military_tank | 0.75 | 0.312 |
| Vehicle_pickup_truck | 0.5 | 0.25 |
| Vehicle_suv | 0 | 0 |
| Vehicle_train | 0.714 | 0.571 |
| Watch | 0.6 | 0 |
| Wheel_tire | 0.75 | 0.5 |