journal article·2025Open access

VPM-Net: Person Re-ID Network Based on Visual Prompt Technology and Multi-Instance Negative Pooling

Haitao Xie, Yuliang Chen, Yunjie Zeng, Lingyu Yan, Zhizhi Wang, Zhiwei Ye

Computers, Materials & Continua· Volume 83· Issue 2

Abstract

With the rapid development of intelligent video surveillance technology, pedestrian re-identification has become increasingly important in multi-camera surveillance systems. This technology plays a critical role in enhancing ... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Human Mobility and Location-Based Analysis · Privacy, Security, and Data Protection · Video Surveillance and Tracking Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (52)

Show source-provided references
1. TransReID: transformer-based object re-identification
2. Bag of tricks and a strong baseline for deep person re-identification
3. NFormer: robust person re-identification with neighbor transformer
4. Cross modal person re-identification with visual-textual queries
5. Cross-modal adaptive dual association for text-to-image person retrieval10.1109/TMM.2024.3355644 ↗
6. Bao L, Wei L, Qiu X, Zhou W, Li H, Tian Q. Learning transferable pedestrian representation from multimodal information supervision. arXiv:2304.05554. 2023.
7. Cross-modal knowledge adaptation for language-based person search10.1109/TIP.2021.3068825 ↗
8. Deep cross-modal projection learning for image-text matching
9. Dual-path convolutional image-text embeddings with instance loss10.1145/3383184 ↗
10. TIPCB: a simple but effective part-based convolutional baseline for text-based person search10.1016/j.neucom.2022.04.081 ↗
11. Ding Z, Ding C, Shao Z, Tao D. Semantically self-aligned network for text-to-image part-aware person re-identification. arXiv:2107.12666. 2021.
12. Pose-guided multi-granularity attention network for text-based person search
13. Vitaa: visual-textual attributes alignment in person search by natural language
14. Visual prompt tuning
15. An empirical study of clip for text-based person search
16. Person search with natural language description
17. Cross-modal implicit relation reasoning and aligning for text-to-image person retrieval
18. Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556. 2014.
19. Long short-term memory10.1162/neco.1997.9.8.1735 ↗
20. Improving text-based person search by spatial matching and adaptive threshold
21. Identity-aware textual-visual matching with latent co-attention
22. UNITER: Universal image-text representation learning
23. Yan S, Dong N, Zhang L, Tang J. CLIP-driven fine-grained text-image person re-identification. arXiv:2210.10276. 2022.10.1109/TIP.2023.3327924 ↗
24. Devlin J, Chang MW, Lee K, Toutanova K. BERT: pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805. 2018.
25. Wang Z, Zhu A, Xue J, Wan X, Liu C, Wang T, et al. CAIBC: capturing all-round information beyond color for text-based person retrieval. arXiv:2209.05773. 2022.10.1145/3503161.3548057 ↗
26. Language-guided person search via color reasoning
27. DSSL: deep surroundings-person separation learning for text-based person retrieval
28. AXM-Net: implicit cross-modal feature alignment for person re-identification
29. Shao Z, Zhang X, Fang M, Lin Z, Wang J, Ding C. Learning granularity-unified representations for text-to-image person re-identification. arXiv:2207.07802. 2022.10.1145/3503161.3548028 ↗
30. Yan S, Tang H, Zhang L, Tang J. Image-specific information suppression and implicit local alignment for text-based person search. arXiv:2208.14365. 2022.
31. 3D person re-identification based on global semantic guidance and local feature aggregation
32. Pedestrian 3D shape understanding for person re-identification via multi-view learning10.1109/TCSVT.2024.3358850 ↗
33. Han X, He S, Zhang L, Xiang T. Text-based person search with limited data. arXiv:211010807. 2021.10.5244/C.35.10 ↗
34. Focal loss for dense object detection
35. Li X, Yin X, Li C, Zhang P, Hu X, Zhang L, et al. Oscar: object-semantics aligned pre-training for vision-language tasks. 2020. doi:10.48550/arXiv.2004.06165.10.1007/978-3-030-58577-8_8 ↗
36. VirTex: learning visual representations from textual annotations
37. Thinking fast and slow: efficient text-to-visual retrieval with transformers
38. Learning transferable visual models from natural language supervision
39. Sennrich R, Haddow B, Birch A. Neural machine translation of rare words with subword units. arXiv:1508.07909. 2015.10.18653/v1/P16-1162 ↗
40. Liu Z, Wang Y, Vaidya S, Ruehle F, Halverson J, Soljacic M, et al. KAN: kolmogorov-arnold networks. arXiv:2404.19756. 2024.
41. Li C, Liu X, Li W, Wang C, Liu H, Yuan Y. U-KAN makes strong backbone for medical image segmentation and generation. arXiv:2406.02918. 2024.10.1609/aaai.v39i5.32491 ↗
42. U-net: convolutional networks for biomedical image segmentation
43. Improved deep metric learning with multi-class n-pair loss objective
44. Sampling matters in deep embedding learning
45. Deep metric learning via facility location
46. Deep learning for person re-identification: a survey and outlook10.1109/TPAMI.2021.3054775 ↗
47. Efficient attention branch network with combined loss function for automatic speaker verification spoof detection10.1007/s00034-023-02314-5 ↗
48. Adversarial representation learning for text-to-image matching
49. Gao C, Cai G, Jiang X, Zheng F, Zhang J, Gong Y, et al. Contextual non-local alignment over full-scale representation for text-based person search. arXiv:2101.03036. 2021.
50. Look before you leap: improving text-based person retrieval by learning a consistent cross-modal common manifold
51. Learning semantic-aligned feature representation for text-based person search
52. Shu X, Wen W, Wu H, Chen K, Song Y, Qiao R, et al. See finer, see more: implicit modality alignment for text-based person retrieval. arXiv:2208.08608. 2022.10.1007/978-3-031-25072-9_42 ↗