TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Methodology/Incremental Learning/ImageNet100 - 10 steps

Incremental Learning on ImageNet100 - 10 steps

Metric: Average Incremental Accuracy Top-5 (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Average Incremental Accuracy Top-5▼AugmentationsPaperDate↕Code
1TCIL94.17NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
2TCIL-Lite93.6NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
3DER w/o Pruning93.23NoDER: Dynamically Expandable Representation for C...2021-03-31Code
4DER92.79NoDER: Dynamically Expandable Representation for C...2021-03-31Code
5DyTox92.04NoDyTox: Transformers for Continual Learning with ...2021-11-22Code
6WA91NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
7BiC90.6NoLarge Scale Incremental Learning2019-05-30Code
8E2E89.92NoEnd-to-End Incremental Learning2018-07-25Code
9RPSNet87.9NoAn Adaptive Random Path Selection Approach for I...2019-06-03Code
10iCaRL83.6NoiCaRL: Incremental Classifier and Representation...2016-11-23Code