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T11. Object detection, multi-object tracking, and video understanding

Detection and tracking backbones behind camera-based safety and inspection work.

  1. T11-6.3Candidate approachSince 2025

    SAM 2: Segment Anything in Images and Videos

    Authors
    Nikhila Ravi and 17 others (Meta FAIR)
    Year
    2025

    Korean review of T11-6.3

  2. T11-1.1Structural parallel

    An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT)

    Authors
    Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov and 9 others (12 authors in total)
    Year
    2021

    Korean review of T11-1.1

  3. T11-2.1Structural parallel

    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    Authors
    Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
    Year
    2017

    Korean review of T11-2.1

  4. T11-2.2Structural parallel

    You Only Look Once: Unified, Real-Time Object Detection (YOLO)

    Authors
    Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
    Year
    2016

    Korean review of T11-2.2

  5. T11-2.3Structural parallel

    Focal Loss for Dense Object Detection (RetinaNet)

    Authors
    Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar
    Year
    2017

    Korean review of T11-2.3

  6. T11-2.4Structural parallel

    End-to-End Object Detection with Transformers (DETR)

    Authors
    Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
    Year
    2020

    Korean review of T11-2.4

  7. T11-2.5Structural parallel

    Deformable DETR: Deformable Transformers for End-to-End Object Detection

    Authors
    Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
    Year
    2021

    Korean review of T11-2.5

  8. T11-2.6Structural parallel

    DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

    Authors
    Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
    Year
    2023

    Korean review of T11-2.6

  9. T11-2.7Candidate approach

    DETRs Beat YOLOs on Real-time Object Detection (RT-DETR)

    Authors
    Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen
    Year
    2024

    Korean review of T11-2.7

  10. T11-2.8Candidate approach

    Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

    Authors
    Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
    Year
    2024

    Korean review of T11-2.8

  11. T11-2.9Candidate approach

    YOLOv10: Real-Time End-to-End Object Detection

    Authors
    Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding
    Year
    2024

    Korean review of T11-2.9

  12. T11-3.1Structural parallel

    Simple Online and Realtime Tracking (SORT)

    Authors
    Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft
    Year
    2016

    Korean review of T11-3.1

  13. T11-3.2Similar problem

    Simple Online and Realtime Tracking with a Deep Association Metric (DeepSORT)

    Authors
    Nicolai Wojke, Alex Bewley, Dietrich Paulus
    Year
    2017

    Korean review of T11-3.2

  14. T11-3.3Structural parallel

    ByteTrack: Multi-Object Tracking by Associating Every Detection Box

    Authors
    Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
    Year
    2022

    Korean review of T11-3.3

  15. T11-3.4Candidate approach

    Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking (OC-SORT)

    Authors
    Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, Kris Kitani
    Year
    2023

    Korean review of T11-3.4

  16. T11-4.1Structural parallel

    Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics (MOTA, MOTP)

    Authors
    Keni Bernardin, Rainer Stiefelhagen
    Year
    2008

    Korean review of T11-4.1

  17. T11-4.2Structural parallel

    Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking (IDF1)

    Authors
    Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi
    Year
    2016

    Korean review of T11-4.2

  18. T11-4.3Structural parallel

    HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

    Authors
    Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, Bastian Leibe
    Year
    2021

    Korean review of T11-4.3

  19. T11-4.4Structural parallel

    MOT16: A Benchmark for Multi-Object Tracking

    Authors
    Anton Milan, Laura Leal-Taixe, Ian Reid, Stefan Roth, Konrad Schindler
    Year
    2016

    Korean review of T11-4.4

  20. T11-5.1Structural parallel

    Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset (I3D)

    Authors
    Joao Carreira, Andrew Zisserman
    Year
    2017

    Korean review of T11-5.1

  21. T11-5.2Similar problem

    SlowFast Networks for Video Recognition

    Authors
    Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
    Year
    2019

    Korean review of T11-5.2

  22. T11-5.3Candidate approach

    VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

    Authors
    Zhan Tong, Yibing Song, Jue Wang, Limin Wang
    Year
    2022

    Korean review of T11-5.3

  23. T11-6.1Structural parallel

    Learning Transferable Visual Models From Natural Language Supervision (CLIP)

    Authors
    Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh and 7 others
    Year
    2021

    Korean review of T11-6.1

  24. T11-6.2Structural parallel

    Segment Anything (SAM)

    Authors
    Alexander Kirillov, Eric Mintun, Nikhila Ravi and 9 others (12 authors in total, Meta AI Research)
    Year
    2023

    Korean review of T11-6.2

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