Few-Shot Object Detection with Fully Cross-Transformer
Author:
Affiliation:
1. Columbia University
Funder
Air Force Research Laboratory (AFRL)
DARPA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879650.pdf?arnumber=9879650
Reference53 articles.
1. FCOS: Fully Convolutional One-Stage Object Detection
2. LXMERT: Learning Cross-Modality Encoder Representations from Transformers
3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
4. You Only Look Once: Unified, Real-Time Object Detection
5. DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
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