Train on the Cityscapes dataset using the DINO algorithm, following the training settings proposed in the Cascade-DETR paper. 基于 Cascade-DETR 论文所提训练设置， 使用 DINO 算法在 Cityscapes 数据集上进行训练

[OpenMMLab-Assistant-004]

Train on the Cityscapes dataset using the DINO algorithm,

following the training settings proposed in the Cascade-DETR paper.
基于 Cascade-DETR 论文所提训练设置，
使用 DINO 算法在 Cityscapes 数据集上进行训练

Train on the Cityscapes dataset using the DINO algorithm, following the training settings proposed in the Cascade-DETR paper( Create a new folder named "detr_benchmark" under the "projects" directory and place the new configuration there)

基于 Cascade-DETR 论文所提训练设置，
使用 DINO 算法在 Cityscapes 数据集上进行训练(在 projects 下新建 detr_benchmark 文件夹，并将新建配置放于此处)

Task Information

Repository：MMDetection

Difficulty：Medium

Points：30

Estimated Time Consumption：21 days

Task Status

Claimant's Github ID：None

Claim Time：2023年08月29日

PR Link：None

Points to Note

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