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Models/BiC

BiC

Reported on 12 benchmarks across 1 task · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

Incremental LearningonCIFAR-100 - 50 classes + 10 steps of 5 classes
Average Incremental Accuracy· 2019-05-30
53.21
best: 73.72 (TCIL)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonCIFAR-100-B0(5steps of 20 classes)
Average Incremental Accuracy· 2019-05-30
73.1
best: 79.23 (View-Batch(TCIL))
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet - 10 steps
Average Incremental Accuracy Top-5· 2019-05-30
84
best: 88.59 (DyTox)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet - 10 steps
Final Accuracy Top-5· 2019-05-30
73.2
best: 84.49 (DyTox)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet100 - 10 steps
Average Incremental Accuracy Top-5· 2019-05-30
90.6
best: 94.17 (TCIL)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet100 - 10 steps
Final Accuracy Top-5· 2019-05-30
84.4
best: 88.84 (TCIL)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonCIFAR-100 - 50 classes + 25 steps of 2 classes
Average Incremental Accuracy· 2019-05-30
48.96
best: 68.68 (D3Former)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonCIFAR-100 - 50 classes + 50 steps of 1 class
Average Incremental Accuracy· 2019-05-30
47.09
best: 57.98 (PODNet)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet-100 - 50 classes + 50 steps of 1 class
Average Incremental Accuracy· 2019-05-30
46.49
best: 62.08 (PODNet)
SOTA
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonCIFAR-100 - 50 classes + 5 steps of 10 classes
Average Incremental Accuracy· 2019-05-30
56.86
best: 74.88 (TCIL)
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet - 10 steps
# M Params· 2019-05-30
11.68
best: 116.89 (DER w/o Pruning)
Large Scale Incremental Learning arXiv:1905.13260
Incremental LearningonImageNet100 - 10 steps
# M Params· 2019-05-30
11.22
best: 116.54 (TCIL)
Large Scale Incremental Learning arXiv:1905.13260