mlsanityData to 7 Oct 2026

Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval

arXiv 2409.18733 ↗First posted 26 Sep 2024cs.CVcited by 5

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Abstract (arXiv)

In this paper, we introduce SearchDet, a training-free long-tail object detection framework that significantly enhances open-vocabulary object detection performance. SearchDet retrieves a set of positive and negative images of an object to ground, embeds these images, and computes an input image-weighted query which is used to detect the desired concept in the image. Our proposed method is simple and training-free, yet achieves over 48.7% mAP improvement on ODinW and 59.1% mAP improvement on LVIS compared to state-of-the-art models such as GroundingDINO. We further show that our approach of basing object detection on a set of Web-retrieved exemplars is stable with respect to variations in the exemplars, suggesting a path towards eliminating costly data annotation and training procedures.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 30 of its 36 references that are in the map. First posted on arXiv 26 Sep 2024.

Builds on

30 of 36 references.

References · 30

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  5. 2023Segment Anythingcited by 8,158
  6. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  7. 2017Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networkscited by 4,861
  8. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
  9. 2017Prototypical Networks for Few-shot Learningcited by 3,001
  10. 2015Fast R-CNNcited by 2,930
  11. 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
  12. 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,883
18 more
  1. 2019LVIS: A Dataset for Large Vocabulary Instance Segmentationcited by 1,215
  2. 2021Grounded Language-Image Pre-trainingcited by 1,147
  3. 2023Segment Anything in High Qualitycited by 373
  4. 2020Frustratingly Simple Few-Shot Object Detectioncited by 280
  5. 2018Few-shot Object Detection via Feature Reweightingcited by 265
  6. 2019Few-Shot Object Detection with Attention-RPN and Multi-Relation Detectorcited by 206
  7. 2023Semantic-SAM: Segment and Recognize Anything at Any Granularitycited by 185
  8. 2019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learningcited by 182
  9. 2021FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingcited by 168
  10. 2024T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergycited by 94
  11. 2021Generalized Few-Shot Object Detection without Forgettingcited by 88
  12. 2022Few-Shot Object Detection with Fully Cross-Transformercited by 64
  13. 2021Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignmentcited by 57
  14. 2021Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networkscited by 55
  15. 2023Visual In-Context Promptingcited by 52
  16. 2021Label, Verify, Correct: A Simple Few Shot Object Detection Methodcited by 43
  17. 2023DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detectioncited by 21
  18. 2024Region-Based Representations Revisitedcited by 18

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.