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Collections:

- Name: Conditional DETR

Metadata:

Training Data: COCO

Training Techniques:

- AdamW

- Multi Scale Train

- Gradient Clip

Training Resources: 8x A100 GPUs

Architecture:

- ResNet

- Transformer

Paper:

URL: https://arxiv.org/abs/2108.06152

Title: 'Conditional DETR for Fast Training Convergence'

README: configs/conditional_detr/README.md

Code:

URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/conditional_detr.py#L14

Version: v3.0.0rc6

Models:

- Name: conditional-detr_r50_8xb2-50e_coco

In Collection: Conditional DETR

Config: configs/conditional_detr/conditional-detr_r50_8xb2-50e_coco.py

Metadata:

Epochs: 50

Results:

- Task: Object Detection

Dataset: COCO

Metrics:

box AP: 40.9

Weights: https://download.openmmlab.com/mmdetection/v3.0/conditional_detr/conditional-detr_r50_8xb2-50e_coco/conditional-detr_r50_8xb2-50e_coco_20221121_180202-c83a1dc0.pth