Unverified60% confidenceFactExact time
The original DETR requires 500 epochs of training on the COCO dataset (approximately 118,000 training images) to achieve satisfactory performance.
2
Sources
60%
Confidence
Long-term
Relevance
8/13/2026
First Seen
Sources
小数据集训练DETR:无人机枯树检测实战解析
Related Claims
UnverifiedFor a small dataset of 5,600 images, training a standard DETR from scratch is almost certain to fail, and it is recommended to load COCO pretrained weights for fine-tuning.76% similarUnverifiedMiniCPM5-2B open-sourced its training data, including approximately 500,000 agent samples and over 80,000 reinforcement learning samples.70% similarUnverified蒸馏攻击通过大规模API调用收集输入-输出对,训练效率可能是常规预训练数据的数十倍69% similarUnverifiedTraining with on-policy algorithms such as PPO typically requires 10 million to 50 million steps, and for a scale of 3–5 drones, PyBullet's CPU serial simulation speed is already sufficient.68% similarUnverifiedOn small datasets, DETR weights pre-trained on large-scale datasets such as COCO should be used for fine-tuning rather than training from scratch68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/740652API
curl https://kongchang.com/api/v1/knowledge/claims/740652MCP
get_claim(id=740652)