mlsanityData to 14 Oct 2026

Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection

arXiv 2210.16897 ↗First posted 30 Oct 2022cs.CV cs.AI cs.LGcited by 10

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Abstract (arXiv)

In this paper, we tackle the challenging problem of Few-shot Object Detection. Existing FSOD pipelines (i) use average-pooled representations that result in information loss; and/or (ii) discard position information that can help detect object instances. Consequently, such pipelines are sensitive to large intra-class appearance and geometric variations between support and query images. To address these drawbacks, we propose a Time-rEversed diffusioN tEnsor Transformer (TENET), which i) forms high-order tensor representations that capture multi-way feature occurrences that are highly discriminative, and ii) uses a transformer that dynamically extracts correlations between the query image and the entire support set, instead of a single average-pooled support embedding. We also propose a Transformer Relation Head (TRH), equipped with higher-order representations, which encodes correlations between query regions and the entire support set, while being sensitive to the positional variability of object instances. Our model achieves state-of-the-art results on PASCAL VOC, FSOD, and COCO.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 36 of its 55 references that are in the map. First posted on arXiv 30 Oct 2022.

Builds on

36 of 55 references.

References · 36

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24 more
  1. 2016YOLO9000: Better, Faster, Strongercited by 1,431
  2. 2019Selective Kernel Networkscited by 403
  3. 2020Frustratingly Simple Few-Shot Object Detectioncited by 282
  4. 2018Few-shot Object Detection via Feature Reweightingcited by 265
  5. 2019Local Relation Networks for Image Recognitioncited by 210
  6. 2019Few-Shot Object Detection with Attention-RPN and Multi-Relation Detectorcited by 206
  7. 2019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learningcited by 182
  8. 2021FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingcited by 168
  9. 2021SOFT: Softmax-free Transformer with Linear Complexitycited by 128
  10. 2020Multi-Scale Positive Sample Refinement for Few-Shot Object Detectioncited by 116
  11. 2021DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detectioncited by 106
  12. 2018RepMet: Representative-based metric learning for classification and one-shot object detectioncited by 85
  13. 2018LSTD: A Low-Shot Transfer Detector for Object Detectioncited by 77
  14. 2021Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networkscited by 55
  15. 2016HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detectioncited by 46
  16. 2021Universal-Prototype Enhancing for Few-Shot Object Detectioncited by 43
  17. 2020Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learningcited by 31
  18. 2020Restoring Negative Information in Few-Shot Object Detectioncited by 28
  19. 2020Tensor Representations for Action Recognitioncited by 28
  20. 2020Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classificationcited by 27
  21. 2016Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensorscited by 18
  22. 2018Power Normalizing Second-order Similarity Network for Few-shot Learningcited by 13
  23. 2018A Deeper Look at Power Normalizationscited by 12
  24. 2021Few-Shot Object Detection by Attending to Per-Sample-Prototypecited by 9

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 6; 2024: 2; 2025: 1; 2026: 1.

10 papers.

  1. 20233Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognitioncited by 40
  2. 2023Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinementcited by 30
  3. 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentationcited by 24
  4. 2024Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignmentcited by 10
  5. 2024Lightweight Language-driven Grasp Detection using Conditional Consistency Modelcited by 9
  6. 2023Learning Partial Correlation based Deep Visual Representation for Image Classificationcited by 6
  7. 2025Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detectioncited by 6
  8. 2026Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detectioncited by 3
  9. 2023Exploiting Field Dependencies for Learning on Categorical Datacited by 2
  10. 2023Re-Scoring Using Image-Language Similarity for Few-Shot Object Detectioncited by 0