Incremental Learning
Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.
Papers
Showing 41–50 of 1371 papers
All datasetsCIFAR-100 - 50 classes + 5 steps of 10 classesCIFAR-100 - 50 classes + 10 steps of 5 classesImageNet100 - 10 stepsCIFAR-100-B0(5steps of 20 classes)ImageNet - 10 stepsCIFAR100-B0(10steps of 10 classes)CIFAR-100 - 50 classes + 25 steps of 2 classesCIFAR100B020Step(5ClassesPerStep)ImageNet-100 - 50 classes + 10 steps of 5 classesImageNet-100 - 50 classes + 5 steps of 10 classesCIFAR-100 - 50 classes + 2 steps of 25 classesImageNet - 500 classes + 10 steps of 50 classes
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PPCA-SWSL | Final Accuracy | 77.07 | — | Unverified |
| 2 | TCIL | Average Incremental Accuracy | 74.88 | — | Unverified |
| 3 | TCIL-Lite | Average Incremental Accuracy | 74.3 | — | Unverified |
| 4 | DER(Standard ResNet-18) | Average Incremental Accuracy | 72.6 | — | Unverified |
| 5 | D3Former | Average Incremental Accuracy | 72.23 | — | Unverified |
| 6 | PPCA-CLIP | Final Accuracy | 69.71 | — | Unverified |
| 7 | FOSTER | Average Incremental Accuracy | 69.46 | — | Unverified |
| 8 | RMM (Modified ResNet-32) | Average Incremental Accuracy | 68.86 | — | Unverified |
| 9 | DER(Modified Res-32) | Average Incremental Accuracy | 67.6 | — | Unverified |
| 10 | CCIL-SD | Average Incremental Accuracy | 67.17 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TCIL | Average Incremental Accuracy | 73.72 | — | Unverified |
| 2 | TCIL-Lite | Average Incremental Accuracy | 73.5 | — | Unverified |
| 3 | DER(Standard ResNet-18) | Average Incremental Accuracy | 72.45 | — | Unverified |
| 4 | D3Former | Average Incremental Accuracy | 70.94 | — | Unverified |
| 5 | FOSTER | Average Incremental Accuracy | 67.95 | — | Unverified |
| 6 | RMM (Modified ResNet-32) | Average Incremental Accuracy | 67.61 | — | Unverified |
| 7 | DER(Modified ResNet-32） | Average Incremental Accuracy | 66.36 | — | Unverified |
| 8 | CCIL-SD | Average Incremental Accuracy | 65.86 | — | Unverified |
| 9 | PODNet (CNN) | Average Incremental Accuracy | 63.19 | — | Unverified |
| 10 | UCIR (CNN)* | Average Incremental Accuracy | 60.18 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | WA | Average Incremental Accuracy Top-5 | 91 | — | Unverified |
| 2 | BiC | Average Incremental Accuracy Top-5 | 90.6 | — | Unverified |
| 3 | E2E | Average Incremental Accuracy Top-5 | 89.92 | — | Unverified |
| 4 | RPSNet | Average Incremental Accuracy Top-5 | 87.9 | — | Unverified |
| 5 | kNN-CLIP | Average Incremental Accuracy | 85.1 | — | Unverified |
| 6 | iCaRL | Average Incremental Accuracy Top-5 | 83.6 | — | Unverified |
| 7 | RMM (ResNet-18) | Average Incremental Accuracy | 78.47 | — | Unverified |
| 8 | FOSTER | Average Incremental Accuracy | 77.75 | — | Unverified |
| 9 | TCIL | Average Incremental Accuracy | 77.66 | — | Unverified |
| 10 | TCIL-Lite | Average Incremental Accuracy | 77.5 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | View-Batch(TCIL) | Average Incremental Accuracy | 79.23 | — | Unverified |
| 2 | TCIL | Average Incremental Accuracy | 77.72 | — | Unverified |
| 3 | TCIL-Lite | Average Incremental Accuracy | 76.96 | — | Unverified |
| 4 | DER(w/o P) | Average Incremental Accuracy | 76.8 | — | Unverified |
| 5 | BiC | Average Incremental Accuracy | 73.1 | — | Unverified |
| 6 | WA | Average Incremental Accuracy | 72.81 | — | Unverified |
| 7 | iCaRL | Average Incremental Accuracy | 71.14 | — | Unverified |
| 8 | RPSNet | Average Incremental Accuracy | 70.5 | — | Unverified |
| 9 | PODNet | Average Incremental Accuracy | 66.7 | — | Unverified |
| 10 | UCIR | Average Incremental Accuracy | 62.77 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | kNN-CLIP | Average Incremental Accuracy | 85.5 | — | Unverified |
| 2 | BiC | Average Incremental Accuracy Top-5 | 84 | — | Unverified |
| 3 | E2E | Average Incremental Accuracy Top-5 | 72.09 | — | Unverified |
| 4 | DyTox | Average Incremental Accuracy | 71.29 | — | Unverified |
| 5 | DER w/o Pruning | Average Incremental Accuracy | 68.84 | — | Unverified |
| 6 | FOSTER | Average Incremental Accuracy | 68.34 | — | Unverified |
| 7 | RMM (ResNet-18) | Average Incremental Accuracy | 67.45 | — | Unverified |
| 8 | DER | Average Incremental Accuracy | 66.73 | — | Unverified |
| 9 | WA | Average Incremental Accuracy | 65.67 | — | Unverified |
| 10 | iCaRL | Average Incremental Accuracy | 38.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | View-Batch(DER) | Average Incremental Accuracy | 78.12 | — | Unverified |
| 2 | TCIL | Average Incremental Accuracy | 77.3 | — | Unverified |
| 3 | TCIL-Lite | Average Incremental Accuracy | 76.74 | — | Unverified |
| 4 | DER(ResNet-18) | Average Incremental Accuracy | 74.64 | — | Unverified |
| 5 | FOSTER | Average Incremental Accuracy | 72.9 | — | Unverified |
| 6 | Coil | Average Incremental Accuracy | 65.48 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | D3Former | Average Incremental Accuracy | 68.68 | — | Unverified |
| 2 | RMM (Modified ResNet-32) | Average Incremental Accuracy | 66.21 | — | Unverified |
| 3 | FOSTER | Average Incremental Accuracy | 63.83 | — | Unverified |
| 4 | PODNet | Average Incremental Accuracy | 60.72 | — | Unverified |
| 5 | BiC | Average Incremental Accuracy | 48.96 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | View-Batch(DER) | Average Incremental Accuracy | 76.95 | — | Unverified |
| 2 | TCIL-Lite | Average Incremental Accuracy | 75.47 | — | Unverified |
| 3 | TCIL | Average Incremental Accuracy | 75.11 | — | Unverified |
| 4 | DER(ResNet-18) | Average Incremental Accuracy | 73.98 | — | Unverified |
| 5 | FOSTER | Average Incremental Accuracy | 70.65 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RMM (ResNet-18) | Average Incremental Accuracy | 78.47 | — | Unverified |
| 2 | DER | Average Incremental Accuracy | 77.73 | — | Unverified |
| 3 | FOSTER | Average Incremental Accuracy | 77.54 | — | Unverified |
| 4 | CCIL-SD | Average Incremental Accuracy | 76.77 | — | Unverified |
| 5 | PODNet | Average Incremental Accuracy | 73.14 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | FOSTER | Average Incremental Accuracy | 80.22 | — | Unverified |
| 2 | RMM (ResNet-18) | Average Incremental Accuracy | 79.52 | — | Unverified |
| 3 | CCIL-SD | Average Incremental Accuracy | 79.44 | — | Unverified |
| 4 | PODNet | Average Incremental Accuracy | 75.82 | — | Unverified |
| 5 | iCaRL* | Average Incremental Accuracy | 65.56 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TCIL | Average Incremental Accuracy | 76.42 | — | Unverified |
| 2 | TCIL-Lite | Average Incremental Accuracy | 74.95 | — | Unverified |
| 3 | DER (w/o P) | Average Incremental Accuracy | 74.61 | — | Unverified |
| 4 | iCaRL | Average Incremental Accuracy | 71.33 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PPCA-CLIP | Final Accuracy | 71.25 | — | Unverified |
| 2 | RMM (ResNet-18) | Average Incremental Accuracy | 67.45 | — | Unverified |
| 3 | PODNet | Average Incremental Accuracy | 64.13 | — | Unverified |
| 4 | UCIR (NME)* | Average Incremental Accuracy | 59.92 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PPCA-CLIP | Final Accuracy | 71.25 | — | Unverified |
| 2 | RMM (ResNet-18) | Average Incremental Accuracy | 69.21 | — | Unverified |
| 3 | CCIL-SD | Average Incremental Accuracy | 68.04 | — | Unverified |
| 4 | PODNet | Average Incremental Accuracy | 66.95 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RMM (ResNet-18) | Average Incremental Accuracy | 76.54 | — | Unverified |
| 2 | FOSTER | Average Incremental Accuracy | 69.34 | — | Unverified |
| 3 | PODNet | Average Incremental Accuracy | 67.28 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | FeTrIL | Average Incremental Accuracy | 59.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DER(ResNet-18) | Average Incremental Accuracy | 72.05 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | FOSTER | Average Incremental Accuracy | 74.49 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PPCA-CLIP | Final Accuracy | 35.42 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RMM (ResNet-18) | Average Incremental Accuracy | 63.93 | — | Unverified |