* [CodeCamp2023-584]Support DINO self-supervised learning in project (#1756) * feat: impelemt DINO * chore: delete debug code * chore: impplement pre-commit * fix: fix imported package * chore: pre-commit check * [CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm (#1774) * add new config adapting MobileNetV2,V3 * add base model config for mobile net v3, modified all training configs of mobile net v3 inherit from the base model config * removed directory _base_/models/mobilenet_v3 * [Feature] Implement of Zero-Shot CLIP Classifier (#1737) * zero-shot CLIP * modify zero-shot clip config * add in1k_sub_prompt(8 prompts) for improvement * add some annotations doc * clip base class & clip_zs sub-class * some modifications of details after review * convert into and use mmpretrain-vit * modify names of some files and directories * ram init commit * [Fix] Fix pipeline bug in image retrieval inferencer * [CodeCamp2023-341] 多模态数据集文档补充-COCO Retrieval * Update OFA to compat with latest huggingface. * Update train.py to compat with new config * Bump version to v1.1.0 * Update __init__.py --------- Co-authored-by: LALBJ <40877073+LALBJ@users.noreply.github.com> Co-authored-by: DE009 <57087096+DE009@users.noreply.github.com> Co-authored-by: mzr1996 <mzr1996@163.com> Co-authored-by: 飞飞 <102729089+ASHORE1225@users.noreply.github.com> |
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_base_ | ||
beit | ||
beitv2 | ||
convnext | ||
eva | ||
mae | ||
mobilenet_v2 | ||
mobilenet_v3 | ||
resnet | ||
simclr | ||
swin_transformer | ||
swin_transformer_v2 | ||
vision_transformer |