AugDETR: Improving Multi-scale Learning for Detection Transformer

Jinpeng Dong, Yutong Lin, Chen Li, Sanping Zhou, Nanning Zheng
2/14/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

A Large-scale Training Paradigm for Graph Generative Models

99% match1 repo32026

IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents

98% match1 repo182026

Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization

98% match2026

ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs

96% match2026

H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training

95% match2026

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming

94% match1 repo2842026

Cite this paper

@article{dong2026augdetr,
  title  = {AugDETR: Improving Multi-scale Learning for Detection Transformer},
  author = {Jinpeng Dong and Yutong Lin and Chen Li and Sanping Zhou and Nanning Zheng},
  year   = {2026},
  doi    = {10.1007/978-3-031-72691-0_14},
  url    = {https://doi.org/10.1007/978-3-031-72691-0_14},
  journal = {ECCV 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/0f386dc07ec9a43ea7577765248d9663364f8d57.svg)](https://codeofpaper.com/paper/0f386dc07ec9a43ea7577765248d9663364f8d57)

Discussion