2024
AugDETR: Improving Multi-scale Learning for Detection Transformer
ECCV 2024poster
"Current end-to-end detectors typically exploit transformers to detect objects and show promising performance. Among them, Deformable DETR is a representative paradigm that effectively exploits multi-scale features. However, small local receptive fields and limited query-encoder interactions weaken…