4.7 Results: Evaluating LSBD withDLSBD 85 4.7.4 Full Quantitative Results The full results for all experiments on all datasets are given in Table 4.5 (Square), Table 4.6 (Arrow), Table 4.7 (Airplane), Table 4.8 (ModelNet40), and Table 4.9 (COIL-100). We report the mean and standard deviation over 10 runs for each experiment. Table 4.5: Scores for the Square dataset. MODEL BETA ↑ FACTOR ↑ SAP ↑ DCI ↑ MIG↑ MOD↑ DLSBD↓ VAE .945±.061 .835±.140 .019±.004 .009±.005 .013±.004 .579±.202 .634±.440 β-VAE .980±.033 .913±.095 .021±.006 .017±.011 .021±.014 .642±.147 .732±.488 CC-VAE .508±.023 .000±.000 .003±.002 .007±.002 .014±.004 .222±.110 1.905±.023 FACTOR .974±.048 .910±.104 .020±.003 .019±.017 .017±.010 .712±.183 .667±.428 DIP-I .972±.042 .861±.097 .020±.005 .010±.002 .011±.002 .618±.117 1.109±.312 DIP-II .930±.119 .848±.137 .018±.004 .010±.004 .015±.007 .607±.207 .907±.559 ADAGVAE .841±.230 .707±.386 .009±.009 .024±.015 .012±.005 .473±.185 .666±.378 ADAMLVAE .737±.208 .465±.403 .008±.008 .016±.006 .013±.007 .338±.128 1.063±.387 QUESSARD .504±.021 .000±.000 .004±.003 .007±.004 .018±.008 .354±.213 1.686±.294 LSBD-VAE .970±.079 .913±.121 .018±.003 .052±.052 .018±.004 .884±.183 .749±.554 /0 LSBD-VAE 1.000±.000 1.000±.001 .021±.004 .267±.152 .027±.007 .986±.023 .104±.147 /256 LSBD-VAE 1.000±.000 1.000±.000 .021±.006 .393±.022 .025±.005 .999±.000 .000±.000 /512 LSBD-VAE 1.000±.000 1.000±.000 .019±.004 .387±.014 .025±.004 .999±.000 .000±.000 /768 LSBD-VAE 1.000±.000 1.000±.000 .022±.005 .398±.020 .024±.003 .999±.000 .000±.000 /1024 LSBD-VAE 1.000±.000 1.000±.000 .023±.003 .389±.016 .023±.003 .999±.000 .000±.000 /1280 LSBD-VAE 1.000±.000 1.000±.000 .022±.004 .398±.013 .027±.002 .999±.000 .000±.000 /1536 LSBD-VAE 1.000±.000 1.000±.000 .020±.004 .397±.016 .027±.005 .999±.000 .000±.000 /1792 LSBD-VAE 1.000±.000 1.000±.000 .021±.006 .380±.027 .027±.005 .999±.000 .000±.000 /FULL LSBD-VAE .005±.002 /PATHS
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