notesum.ai
Published at November 27Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework
cs.CV
Released Date: November 27, 2024
Authors: Bingyan Nie1, Wulin Xie1, Jiang Long1, Xiaohuan Lu1
Aff.: 1School of Big Data and Information Engineering, Guizhou University, Guiyang 550000, China

| DATA | METRIC | iMvWL | NAIM3L | CDMM | DICNet | LMVCAT | MTD | OURS |
|---|---|---|---|---|---|---|---|---|
| AP | 0.2830.011 | 0.3090.004 | 0.3090.004 | 0.3810.004 | 0.3820.004 | 0.4150.008 | 0.4250.006 | |
| 1-HL | 0.9780.000 | 0.9870.000 | 0.9870.000 | 0.9880.000 | 0.9880.000 | 0.9880.000 | 0.9880.002 | |
| 1-RL | 0.8650.005 | 0.8780.002 | 0.8840.003 | 0.8820.004 | 0.8800.002 | 0.8930.004 | 0.8980.003 | |
| Corel5k | AUC | 0.8680.005 | 0.8810.002 | 0.8880.003 | 0.8840.004 | 0.8830.002 | 0.8960.004 | 0.9030.004 |
| OE | 0.6890.015 | 0.6500.009 | 0.5900.007 | 0.5320.007 | 0.5470.006 | 0.5090.012 | 0.4940.010 | |
| Cov | 0.2980.008 | 0.2750.005 | 0.2770.007 | 0.2730.011 | 0.2730.006 | 0.2510.009 | 0.2460.007 | |
| AP | 0.4370.018 | 0.4880.003 | 0.5080.005 | 0.5050.012 | 0.5190.005 | 0.5510.004 | 0.5580.004 | |
| 1-HL | 0.8820.004 | 0.9280.001 | 0.9310.001 | 0.9290.001 | 0.9240.003 | 0.9320.001 | 0.9340.000 | |
| 1-RL | 0.7360.015 | 0.7830.001 | 0.8120.004 | 0.7830.008 | 0.8110.004 | 0.8310.003 | 0.8370.003 | |
| Pascal07 | AUC | 0.7670.015 | 0.8110.001 | 0.8380.003 | 0.8090.006 | 0.8340.004 | 0.8510.003 | 0.8570.004 |
| OE | 0.6380.023 | 0.5790.006 | 0.5810.008 | 0.5730.015 | 0.5790.006 | 0.5410.004 | 0.5480.006 | |
| Cov | 0.3230.015 | 0.2730.002 | 0.2410.003 | 0.2690.006 | 0.2370.005 | 0.2160.004 | 0.2120.007 | |
| AP | 0.2440.005 | 0.2460.002 | 0.2890.003 | 0.2970.002 | 0.2940.004 | 0.3060.003 | 0.3170.003 | |
| 1-HL | 0.9720.000 | 0.9830.000 | 0.9830.000 | 0.9830.000 | 0.9820.000 | 0.9830.000 | 0.9830.000 | |
| 1-RL | 0.8080.002 | 0.8180.002 | 0.8320.001 | 0.8320.001 | 0.8280.002 | 0.8370.002 | 0.8490.002 | |
| ESPGame | AUC | 0.8130.002 | 0.8240.002 | 0.8360.001 | 0.8360.001 | 0.8330.002 | 0.8420.002 | 0.8550.003 |
| OE | 0.6570.013 | 0.6610.003 | 0.6040.005 | 0.5610.007 | 0.5660.009 | 0.5530.009 | 0.5420.007 | |
| Cov | 0.4520.004 | 0.4290.003 | 0.4260.004 | 0.4070.003 | 0.4100.004 | 0.3980.004 | 0.3700.004 | |
| AP | 0.2370.003 | 0.2610.001 | 0.3050.004 | 0.3230.001 | 0.3170.003 | 0.3320.003 | 0.3390.003 | |
| 1-HL | 0.9690.000 | 0.9800.000 | 0.9810.000 | 0.9810.000 | 0.9800.000 | 0.9810.000 | 0.9810.002 | |
| 1-RL | 0.8330.002 | 0.8480.001 | 0.8620.002 | 0.8730.001 | 0.8700.001 | 0.8750.002 | 0.8880.004 | |
| IAPRTC12 | AUC | 0.8350.001 | 0.8500.001 | 0.8640.002 | 0.8740.000 | 0.8760.001 | 0.8760.004 | 0.8890.004 |
| OE | 0.6480.008 | 0.6100.005 | 0.5680.008 | 0.5320.002 | 0.5570.005 | 0.5330.004 | 0.5250.003 | |
| Cov | 0.4360.005 | 0.4080.004 | 0.4030.004 | 0.3510.001 | 0.3520.003 | 0.3510.004 | 0.3220.007 | |
| AP | 0.4900.012 | 0.5510.002 | 0.5700.002 | 0.5890.005 | 0.5940.005 | 0.6070.004 | 0.6190.004 | |
| 1-HL | 0.8390.002 | 0.8820.001 | 0.8860.001 | 0.8880.002 | 0.8820.002 | 0.8910.001 | 0.8940.001 | |
| 1-RL | 0.8030.008 | 0.8440.001 | 0.8560.001 | 0.8650.003 | 0.8630.004 | 0.8750.002 | 0.8810.001 | |
| Mirflickr | AUC | 0.7870.012 | 0.8370.001 | 0.8460.001 | 0.8530.003 | 0.8490.004 | 0.8620.002 | 0.8640.001 |
| OE | 0.4890.022 | 0.4150.003 | 0.3690.004 | 0.3580.008 | 0.3630.007 | 0.3450.004 | 0.3320.004 | |
| Cov | 0.4280.013 | 0.3690.002 | 0.3600.001 | 0.3330.003 | 0.3480.007 | 0.3240.004 | 0.3130.003 |