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Created with Raphaël 2.2.016May1096543129Apr282725232221191615141312109654130Mar2824232221181514109543127Feb25232221171615111098729Jan2827262524232218171413111030Dec242320161514111098987632130Nov29272625241817161532129Oct2524191312873130Sep29282625262423221816151411982130Aug2827262519201716151312111098654331Jul2827261915148765432128Jun23222119181716231May24181716121186530Apr292827252421191814129876330Mar29272221201024Feb21224Jan19181311109874229Dec262322171413123Nov222318171610874328Oct252221181110730Sep292825232219161074328Aug25231918171412119627Jul2320171413121014JunMerge branch 'limengzhang/refactor_SegDataSample' into 'refactor_dev'[Refactor] Add SegDataSampleMerge branch 'linfangjian/refactor_registies' into 'refactor_dev'[Refactor] Refactor all registriesMerge branch 'zhengmiao/tests_bp' into 'refactor_dev'[Refactory] Clean UTsadd ruby in .pre-commit-config.yaml[Doc] Add explanation and usage instructions for data configuration (#1548)[Fix] Fix main line link in MAE README.md (#1556)[Enhancement] Fix the build_segmentor in colab demo (#1551)[Enhancement] Delete DS_Store file (#1549)[Enhancement] Use round-robin (#1543)Bump version to v0.24.1 (#1541)[Enhancement]Revise docstring and UT for layer decay LR (#1540)Replace Arxiv with ICCV bibtex entry (#1536)[Fix] Add MAE LayerDecayOptimizerConstructor (#1539)Bump version to v0.24.0 (#1533)[Fix] Fix the bug in binary_cross_entropy (#1527)[Fix] Add GPG keys and del mmcv version in Dockerfile (#1534)[Doc] Add more clearly statement of CPU training/inference (#1518)[Fix] Add GPG keys in CI (#1532)[Fix] Add MAE in cover page (#1523)[Enhancement] Delete seed in dist_train.sh (#1519)[Feature]: Add MAE (#1307)[Feature]: Add MAE (#1307)[Refactor] Add build_pos_embed and build_layers for BEiT (#1517)[Refactory] Merge BEiT and ConvNext 's LR decay optimizer constructors (#1438)[Fix] Revise high workers_per_gpus (#1506)[Refactor] Refactor transfomer encode layer in ViT and BEiT backbone (#1481)[Fix] the directory of cfg file in colab demo (#1501)migrate azure blob for beit checkpoints (#1503)Fix validation loss logging (#1494) fixed a couple of issues that made the notebook not work in colab (#1460)[Enhancement]Update checkpoint for model in deeplabv3plus (#1487)Fix potential bugs in accuracy.py (#1496)[Enhancement] MMCV maximum_version set to 1.6 (#1480)[Fix] Register optimizer constructor with mmseg (#1456)[Fix] Update .owners.yml (#1477)[Fix] Support single cahnnel `pred` for Binary Cross Entropy Loss (#1454)[Fix] Input previous results for the last cascade_decode_head (#1450)