{
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   "type": "article",
   "authors": [
    "Dominguez-Dager, Bessie",
    "Escalona, Felix",
    "Gomez-Donoso, Francisco",
    "Cazorla, Miguel"
   ],
   "title": "CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis",
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   "pages": "109",
   "volume": "13"
  },
  "he2016resnet": {
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    "He, K.",
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   "title": "Deep residual learning for image recognition",
   "venue": "CVPR",
   "year": 2016,
   "doi": "10.1109/CVPR.2016.90",
   "pages": "770--778"
  },
  "pan2018ibn": {
   "type": "inproceedings",
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    "Luo, P.",
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   "title": "Two at once: Enhancing learning and generalization capacities via IBN-Net",
   "venue": "ECCV",
   "year": 2018,
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  },
  "liu2022convnext": {
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   "title": "A ConvNet for the 2020s",
   "venue": "CVPR",
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  },
  "maaz2022edgenext": {
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    "others"
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   "title": "EdgeNeXt: Efficiently amalgamated CNN-transformer architecture for mobile vision applications",
   "venue": "ECCV Workshops",
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  },
  "han2020ghostnet": {
   "type": "inproceedings",
   "authors": [
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    "others"
   ],
   "title": "GhostNet: More features from cheap operations",
   "venue": "CVPR",
   "year": 2020,
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  },
  "dosovitskiy2021vit": {
   "type": "inproceedings",
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    "others"
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   "venue": "ICLR",
   "year": 2021,
   "url": "https://arxiv.org/abs/2010.11929"
  },
  "liu2021swin": {
   "type": "inproceedings",
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   ],
   "title": "Swin Transformer: Hierarchical vision transformer using shifted windows",
   "venue": "ICCV",
   "year": 2021,
   "doi": "10.1109/ICCV48922.2021.00986",
   "pages": "9992--10002"
  },
  "yuan2023volo": {
   "type": "article",
   "authors": [
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    "Hou, Q.",
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    "Yan, S."
   ],
   "title": "VOLO: Vision outlooker for visual recognition",
   "venue": "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   "year": 2023,
   "doi": "10.1109/TPAMI.2022.3206108",
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   "volume": "45"
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   "type": "inproceedings",
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   "title": "FastViT: A fast hybrid vision transformer using structural reparameterization",
   "venue": "ICCV",
   "year": 2023,
   "doi": "10.1109/ICCV51070.2023.00532",
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  },
  "wang2024repvit": {
   "type": "inproceedings",
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    "Wang, A.",
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   ],
   "title": "RepViT: Revisiting mobile CNN from ViT perspective",
   "venue": "CVPR",
   "year": 2024,
   "url": "https://arxiv.org/abs/2307.09283"
  },
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   "type": "inproceedings",
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   "title": "Learning discriminative features with multiple granularities for person re-identification",
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   "year": 2018,
   "doi": "10.1145/3240508.3240552",
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   "type": "inproceedings",
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    "Luo, H.",
    "Gu, Y.",
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   "title": "Bag of tricks and a strong baseline for deep person re-identification",
   "venue": "CVPR Workshops",
   "year": 2019,
   "doi": "10.1109/CVPRW.2019.00190",
   "pages": "1487--1495"
  },
  "ye2021agw": {
   "type": "article",
   "authors": [
    "Ye, M.",
    "others"
   ],
   "title": "Deep learning for person re-identification: A survey and outlook",
   "venue": "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   "year": 2021,
   "doi": "10.1109/TPAMI.2021.3054775",
   "pages": "2872--2893",
   "volume": "44"
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   "type": "inproceedings",
   "authors": [
    "He, L.",
    "others"
   ],
   "title": "FastReID: A PyTorch toolbox for general instance re-identification",
   "venue": "ACM Multimedia",
   "year": 2023,
   "doi": "10.1145/3581783.3613460",
   "pages": "9664--9667"
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   "type": "inproceedings",
   "authors": [
    "Wieczorek, M.",
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   ],
   "title": "On the unreasonable effectiveness of centroids in image retrieval",
   "venue": "ICONIP",
   "year": 2021,
   "doi": "10.1007/978-3-030-92273-3_18",
   "pages": "212--223"
  },
  "zuo2024reidzoo": {
   "type": "inproceedings",
   "authors": [
    "Zuo, J.",
    "others"
   ],
   "title": "Cross-video identity correlating for person re-identification pre-training",
   "venue": "NeurIPS",
   "year": 2024,
   "doi": "10.52202/079017-0795",
   "pages": "25228--25250"
  },
  "zhang2022bytetrack": {
   "type": "inproceedings",
   "authors": [
    "Zhang, Y.",
    "others"
   ],
   "title": "ByteTrack: Multi-object tracking by associating every detection box",
   "venue": "ECCV",
   "year": 2022,
   "doi": "10.1007/978-3-031-20047-2_1",
   "pages": "1--21"
  },
  "aharon2022botsort": {
   "type": "misc",
   "authors": [
    "Aharon, N.",
    "Orfaig, R.",
    "Bobrovsky, B.-Z."
   ],
   "title": "BoT-SORT: Robust associations multi-pedestrian tracking",
   "venue": "arXiv:2206.14651",
   "year": 2022,
   "url": "https://arxiv.org/abs/2206.14651"
  },
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   "type": "inproceedings",
   "authors": [
    "Cao, J.",
    "Pang, J.",
    "Weng, X.",
    "Khirodkar, R.",
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   ],
   "title": "Observation-centric SORT: Rethinking SORT for robust multi-object tracking",
   "venue": "CVPR",
   "year": 2023,
   "doi": "10.1109/CVPR52729.2023.00934",
   "pages": "9686--9696"
  },
  "maggiolino2023deepocsort": {
   "type": "inproceedings",
   "authors": [
    "Maggiolino, G.",
    "Ahmad, A.",
    "Cao, J.",
    "Kitani, K."
   ],
   "title": "Deep OC-SORT: Multi-pedestrian tracking by adaptive re-identification",
   "venue": "ICIP",
   "year": 2023,
   "doi": "10.1109/ICIP49359.2023.10222576",
   "pages": "3025--3029"
  },
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   "type": "article",
   "authors": [
    "Du, Y.",
    "others"
   ],
   "title": "StrongSORT: Make DeepSORT great again",
   "venue": "IEEE Transactions on Multimedia",
   "year": 2023,
   "doi": "10.1109/TMM.2023.3240881",
   "pages": "8725--8737",
   "volume": "25"
  },
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   "type": "article",
   "authors": [
    "Stanojević, V. D.",
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   ],
   "title": "BoostTrack: Boosting the similarity measure and detection confidence for improved multiple object tracking",
   "venue": "Machine Vision and Applications",
   "year": 2024,
   "doi": "10.1007/s00138-024-01531-5",
   "pages": "53",
   "volume": "35"
  },
  "stanojevic2024boosttrackpp": {
   "type": "misc",
   "authors": [
    "Stanojević, V.",
    "Todorović, B."
   ],
   "title": "BoostTrack++: Using tracklet information to detect more objects in multiple object tracking",
   "venue": "arXiv:2408.13003",
   "year": 2024,
   "doi": "10.48550/arXiv.2408.13003"
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  "zhou2019osnet": {
   "type": "inproceedings",
   "authors": [
    "Zhou, K.",
    "Yang, Y.",
    "Cavallaro, A.",
    "Xiang, T."
   ],
   "title": "Omni-scale feature learning for person re-identification",
   "venue": "ICCV",
   "year": 2019,
   "doi": "10.1109/ICCV.2019.00380",
   "pages": "3701--3711"
  },
  "jocher2024yolo11": {
   "type": "misc",
   "authors": [
    "Jocher, G.",
    "Qiu, J."
   ],
   "title": "Ultralytics YOLO11",
   "venue": "GitHub",
   "year": 2024,
   "url": "https://github.com/ultralytics/ultralytics"
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 ]
}
