atlas

Research map / Detection and segmentation / CNN features

Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR

CVPR 2023 · Detection and segmentation › CNN features · approach: Context for hard detection conditions · 145 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace DINO's encoder with the Lite interleaved encoder and KDADINO with Swin-T backbone · COCO val2017AP: 54.1 -> 53.9Hurt
Replace DINO's encoder with the Lite interleaved encoder and KDADINO with ResNet-50 backbone · COCO val2017AP: 50.7 -> 50.4Hurt
Replace DINO's encoder with the Lite interleaved encoder and KDADINO with Swin-T backbone · COCO val2017GFLOPs: 243 -> 159Helped
Replace the Deformable DETR encoder with Lite-Deformable DETR H3L1-(2+1)x3Deformable DETR, ResNet-50 · COCO val2017AP: 46.8 -> 46.7Hurt
Drop the fourth feature scale (ablation)DINO, ResNet-50 · COCO val2017AP: 50.7 -> 48.2Hurt
Add key-aware deformable attention to the 3-scale DINO baseline (ablation)DINO, ResNet-50 · COCO val2017AP: +0.8 APHelped
Add iterative high-level feature cross-scale fusion to the 3-scale DINO baseline (ablation)DINO, ResNet-50 · COCO val2017AP: +0.8 APHelped
Add efficient low-level feature cross-scale fusion after high-level fusion (ablation)DINO, ResNet-50, 3 scales · COCO val2017AP: +0.8 APHelped
Add KDA to the DINO 3-scale model with high- and low-level fusion (ablation)DINO, ResNet-50, 3 scales · COCO val2017AP: +0.6 APHelped
Add high- and low-level feature fusion to the 2-scale DINO baseline (ablation)DINO, ResNet-50 · COCO val2017AP: +4.0 APHelped
Add KDA to the 2-scale DINO model with high- and low-level fusion (ablation)DINO, ResNet-50, 2 scales · COCO val2017AP: +0.7 APHelped
Use Lite interleaved updates instead of simply retaining two scales (ablation)Deformable DETR, ResNet-50 · COCO val2017AP: 40.3 -> 45.8(+5.5)Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy