Lite-MDETR: A Lightweight Multi-Modal Detector
Author:
Affiliation:
1. Samsung Research America
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879001.pdf?arnumber=9879001
Reference34 articles.
1. Modeling Context in Referring Expressions
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3. Lite transformer with long-short range attention;wu;International Conference on Learning Representations,0
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2. Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01
4. DETRs with Hybrid Matching;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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