| Full name | Adaptive Query Transformer for 3D Instance Segmentation |
|---|---|
| Publication title | |
| Publication authors | |
| Publication venue | |
| Publication url | |
| Project link | |
| Use other data | No |
| Last edited | 26 August, 2026 |
| mean | table | door | ceiling lamp | cabinet | blinds | curtain | chair | storage cabinet | office chair | bookshelf | whiteboard | window | box | monitor | shelf | heater | kitchen cabinet | sofa | bed | trash can | book | plant | blanket | tv | computer tower | refrigerator | jacket | sink | bag | picture | pillow | towel | suitcase | backpack | crate | keyboard | rack | toilet | printer | poster | painting | microwave | shoes | socket | bottle | bucket | cushion | basket | shoe rack | telephone | file folder | laptop | plant pot | exhaust fan | cup | coat hanger | light switch | speaker | table lamp | kettle | smoke detector | container | power strip | slippers | paper bag | mouse | cutting board | toilet paper | paper towel | pot | clock | pan | tap | jar | soap dispenser | binder | bowl | tissue box | whiteboard eraser | toilet brush | spray bottle | headphones | stapler | marker | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AP | 0.38093 | 0.27549 | 0.58006 | 0.81775 | 0.48583 | 0.69338 | 0.61238 | 0.74296 | 0.44183 | 0.91007 | 0.32856 | 0.84438 | 0.18121 | 0.22486 | 0.81254 | 0.17205 | 0.69648 | 0.08242 | 0.71171 | 0.38842 | 0.76731 | 0.12374 | 0.63275 | 0.35139 | 0.94040 | 0.64261 | 0.54307 | 0.50765 | 0.67560 | 0.29993 | 0.29909 | 0.42231 | 0.24326 | 0.49124 | 0.63724 | 0.16900 | 0.68798 | 0.13414 | 0.90232 | 0.32323 | 0.03729 | 0.08340 | 0.53114 | 0.22598 | 0.23982 | 0.26494 | 0.32279 | 0.01323 | 0.00051 | 0.00000 | 0.52440 | 0.01628 | 0.65778 | 0.34070 | 0.42087 | 0.44057 | 0.36756 | 0.28141 | 0.17544 | 0.63903 | 0.43121 | 0.62877 | 0.13490 | 0.20713 | 0.23495 | 0.02622 | 0.60395 | 0.25609 | 0.19514 | 0.17604 | 0.00009 | 0.63064 | 0.12698 | 0.31097 | 0.00006 | 0.54721 | 0.12872 | 0.10079 | 0.35994 | 0.45819 | 0.64897 | 0.23988 | 0.06007 | 0.11111 | 0.00000 |
| AP50 | 0.55709 | 0.59861 | 0.88997 | 0.95020 | 0.68948 | 0.83709 | 0.79688 | 0.93661 | 0.61958 | 0.93361 | 0.63366 | 0.92642 | 0.40048 | 0.40825 | 0.93640 | 0.26418 | 0.91441 | 0.24436 | 0.92093 | 0.55830 | 0.88195 | 0.23207 | 0.88889 | 0.42374 | 1.00000 | 0.78302 | 0.83514 | 0.76660 | 1.00000 | 0.46909 | 0.45800 | 0.53438 | 0.44445 | 0.60460 | 0.77369 | 0.32671 | 0.90135 | 0.30222 | 0.95761 | 0.50068 | 0.05307 | 0.09867 | 0.93879 | 0.36758 | 0.58952 | 0.41969 | 0.46458 | 0.01501 | 0.00110 | 0.00000 | 0.95232 | 0.02095 | 1.00000 | 0.51701 | 0.51291 | 0.69711 | 0.60259 | 0.53022 | 0.56051 | 0.90126 | 0.65316 | 0.86309 | 0.25157 | 0.45900 | 0.30144 | 0.07291 | 0.92916 | 0.40111 | 0.36728 | 0.25021 | 0.00011 | 0.87329 | 0.14286 | 0.78507 | 0.00007 | 0.70433 | 0.18357 | 0.22525 | 0.62172 | 0.93739 | 1.00000 | 0.28618 | 0.30000 | 0.40000 | 0.00000 |
| AP25 | 0.63562 | 0.83278 | 0.91486 | 0.96789 | 0.68971 | 0.90663 | 0.71120 | 0.95633 | 0.73537 | 0.95756 | 0.70812 | 0.95833 | 0.76479 | 0.54674 | 0.94551 | 0.29838 | 0.95989 | 0.45624 | 0.92097 | 1.00000 | 0.89289 | 0.32218 | 0.88889 | 0.46030 | 1.00000 | 0.79805 | 0.91766 | 0.85752 | 1.00000 | 0.53938 | 0.50921 | 0.53466 | 0.52358 | 0.63545 | 0.77391 | 0.75825 | 0.93703 | 0.30256 | 0.95771 | 0.50077 | 0.09636 | 0.09869 | 0.93894 | 0.46284 | 0.76412 | 0.70945 | 0.57853 | 0.01605 | 0.00201 | 0.27778 | 0.95417 | 0.06373 | 1.00000 | 0.63978 | 0.63133 | 0.81539 | 0.60283 | 0.71341 | 0.56110 | 0.90142 | 0.65378 | 0.91438 | 0.29417 | 0.56674 | 0.55555 | 0.09699 | 0.96187 | 0.40132 | 0.49469 | 0.29693 | 0.29325 | 0.87347 | 0.40733 | 0.95222 | 0.03143 | 0.74242 | 0.29188 | 0.31500 | 0.62191 | 0.94630 | 1.00000 | 0.35989 | 0.75147 | 0.40000 | 0.00022 |