Results

Showing 8 of 8.

All results
IDReleaseResultValueSourceDecisionsStatus
H1v0.0.1JEV with 2 to 4 references: test balanced accuracy on the five datasets0.73 to 1.00 (pans 1.00, extrusion 0.73, textiles 0.86, pipe staple 0.98, microstructure 0.92)results/final_test/method_comparison.csvD11, D23Current
H2v0.0.1JEV against CLIP with the same references: equal or better on all five datasetsmicrostructure equal (0.92 and 0.92); JEV better on the other fourresults/final_test/method_comparison.csvD24Current
H3v0.0.1JEV against CLIP with the learning sets of the CLIP paper (20 to 700 labeled images): JEV better on three datasets, CLIP slightly better on twopipe staple 0.98 vs 0.57, pans 1.00 vs 0.91, microstructure 0.92 vs 0.85; textiles 0.86 vs 0.975, extrusion 0.73 vs 0.82results/clip_paper/summary.csvD28Current
H4v0.0.1Calibration of the JEV probabilities on the test setsraw ECE 0.11 to 0.23; isotonic regression 0.01 to 0.04 on four of the five datasetsresults/final_test/calibration.csvD29Current
H5v0.0.1Clef-Flash with the frozen JEV configurations: test balanced accuracy0.68 to 0.99results/final_test/method_comparison.csvD34Current
H6v0.0.1Benchmark of the analysis document: the best CLIP result on the test set for each datasetpans 0.94, extrusion 0.83, textiles 0.98, pipe staple 0.61, microstructure 0.96tables/T4_test_results_long.csvD58, D60Replaced by H7
H7v0.0.1JEV with references against the CLIP baseline (50 learning images per class, pans 10; rule of the CLIP paper): JEV higher on four datasets, lower on textilespans 1.00 vs 0.91, extrusion 0.73 vs 0.70, textiles 0.86 vs 0.98, pipe staple 0.98 vs 0.57, microstructure 0.92 vs 0.84tables/T4_test_results_long.csvD62Current
H8v0.0.1Validation size (JEV with references): test balanced accuracy settles at about 10 to 20 validation images per class; the calibration error keeps falling up to 50mean test balanced accuracy at 20 and at 50 per class: extrusion 0.726 and 0.725, textiles 0.848 and 0.855, pipe staple 0.991 and 0.980, microstructure 0.920 and 0.920 (pans have 8 per class only)tables/validation_size.csv-Current