Online Learning via Memory: Retrieval-Augmented Detector Adaptation
On the map: Retrieval-augmented generation → Multimodal RAG
Abstract (arXiv)
This paper presents a novel way of online adapting any off-the-shelf object detection model to a novel domain without retraining the detector model. Inspired by how humans quickly learn knowledge of a new subject (e.g., memorization), we allow the detector to look up similar object concepts from memory during test time. This is achieved through a retrieval augmented classification (RAC) module together with a memory bank that can be flexibly updated with new domain knowledge. We experimented with various off-the-shelf open-set detector and close-set detectors. With only a tiny memory bank (e.g., 10 images per category) and being training-free, our online learning method could significantly outperform baselines in adapting a detector to novel domains.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Multimodal RAG, one of 15 directions in Retrieval-augmented generation. Builds on 14 of its 14 references that are in the map. First posted on arXiv 16 Sep 2024.
Builds on
14 of 14 references.
Closest ancestors · 3
Same direction, newest first
- 2024Retrieval-Augmented Open-Vocabulary Object Detection8 Apr
- 2023Learning Customized Visual Models with Retrieval-Augmented Knowledge17 Jan
- 2022Retrieval Augmented Classification for Long-Tail Visual Recognition22 Feb
Other references · 11
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
- 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
- 2021Grounded Language-Image Pre-trainingcited by 1,147
- 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
- 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 622
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- 2023Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
- 2025Retrieval-Augmented Memory for Online Learning
- 2023Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
- 2025Memory-enhanced Retrieval Augmentation for Long Video Understanding
- 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
- 2026Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection
- 2025Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
- 2024D'ej`a Vu Memorization in Vision-Language Models