mlsanityData to 14 Oct 2026

One-Shot Object Detection with Co-Attention and Co-Excitation

arXiv 1911.12529 ↗First posted 28 Nov 2019cs.CV cs.LG eess.IVcited by 67

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Abstract (arXiv)

This paper aims to tackle the challenging problem of one-shot object detection. Given a query image patch whose class label is not included in the training data, the goal of the task is to detect all instances of the same class in a target image. To this end, we develop a novel em co-attention and co-excitation (CoAE) framework that makes contributions in three key technical aspects. First, we propose to use the non-local operation to explore the co-attention embodied in each query-target pair and yield region proposals accounting for the one-shot situation. Second, we formulate a squeeze-and-co-excitation scheme that can adaptively emphasize correlated feature channels to help uncover relevant proposals and eventually the target objects. Third, we design a margin-based ranking loss for implicitly learning a metric to predict the similarity of a region proposal to the underlying query, no matter its class label is seen or unseen in training. The resulting model is therefore a two-stage detector that yields a strong baseline on both VOC and MS-COCO under one-shot setting of detecting objects from both seen and never-seen classes. Codes are available at https://github.com/timy90022/One-Shot-Object-Detection.

Key facts. Cited by 67 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Nov 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 19; 2022: 21; 2023: 13; 2024: 6; 2025: 4; 2026: 4.

67 papers.

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  1. 2022Simple Open-Vocabulary Object Detection with Vision Transformerscited by 305
  2. 2021Generalized Few-Shot Object Detection without Forgettingcited by 88
  3. 2022OSOP: A Multi-Stage One Shot Object Pose Estimation Frameworkcited by 81
  4. 2021Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detectioncited by 79
  5. 2022Few-Shot Object Detection with Fully Cross-Transformercited by 64
  6. 2021Learning Position and Target Consistency for Memory-based Video Object Segmentationcited by 63
  7. 2022Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Videocited by 60
  8. 2022Accelerating DETR Convergence via Semantic-Aligned Matchingcited by 58
  9. 2021Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignmentcited by 57
  10. 2021Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networkscited by 55
  11. 2021Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detectioncited by 53
  12. 2023Multi-Modal Classifiers for Open-Vocabulary Object Detectioncited by 53
38 more
  1. 2021Hallucination Improves Few-Shot Object Detectioncited by 50
  2. 2022Visual Attention Methods in Deep Learning: An In-Depth Surveycited by 37
  3. 2023Revisiting Few-Shot Object Detection with Vision-Language Modelscited by 32
  4. 2021Few-Shot Object Detection: A Comprehensive Surveycited by 29
  5. 2022FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-trainingcited by 20
  6. 2023Single-Stage Visual Query Localization in Egocentric Videoscited by 20
  7. 2023What Can Human Sketches Do for Object Detection?cited by 19
  8. 2023Detect Everything with Few Examplescited by 14
  9. 2021Object Counting: You Only Need to Look at Onecited by 13
  10. 2022Semantic-aligned Fusion Transformer for One-shot Object Detectioncited by 13
  11. 2022Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detectioncited by 12
  12. 2022Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Promptingcited by 11
  13. 2021A Comparative Review of Recent Few-Shot Object Detection Algorithmscited by 10
  14. 2022Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectorscited by 10
  15. 2024PRSA: Prompt Stealing Attacks against Real-World Prompt Servicescited by 10
  16. 2025PRVQL: Progressive Knowledge-guided Refinement for Robust Egocentric Visual Query Localizationcited by 9
  17. 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparisoncited by 8
  18. 2022Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusioncited by 7
  19. 2021CoVA: Context-aware Visual Attention for Webpage Information Extractioncited by 6
  20. 2021A Survey of Deep Learning for Low-Shot Object Detectioncited by 6
  21. 2022Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learningcited by 6
  22. 2021Dynamic Relevance Learning for Few-Shot Object Detectioncited by 5
  23. 2023Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detectioncited by 4
  24. 2025AttZoom: Attention Zoom for Better Visual Featurescited by 4
  25. 2021SBNet: Segmentation-based Network for Natural Language-based Vehicle Searchcited by 3
  26. 2021CAT: Cross-Attention Transformer for One-Shot Object Detectioncited by 3
  27. 2021Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildcited by 3
  28. 2021Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Imagescited by 3
  29. 2023Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketchcited by 3
  30. 2024Multiple Instance Verificationcited by 2
  31. 2024Beyond Few-shot Object Detection: A Detailed Surveycited by 2
  32. 2024Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Mangacited by 2
  33. 2024No Annotations for Object Detection in Art through Stable Diffusioncited by 2
  34. 2021Towards Accurate Localization by Instance Searchcited by 1
  35. 2021Morphable Detector for Object Detection on Demandcited by 1
  36. 2022A Unified Framework for Attention-Based Few-Shot Object Detectioncited by 1
  37. 2022A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Imagescited by 1
  38. 2022Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passingcited by 1

50 most cited of 67 All 67 (JSON)