# Research **URL:** https://community.ultralytics.com/c/discuss/research/14.md [Latest](https://community.ultralytics.com/latest.md) · [Categories](https://community.ultralytics.com/categories.md) · [Tags](https://community.ultralytics.com/tags.md) --- ## [About the Research category](https://community.ultralytics.com/t/about-the-research-category/25)
**Author:** [@UltraBot](https://community.ultralytics.com/u/UltraBot)\ **Replies:** 0\ **Last updated:** [June 13, 2024, 11:05pm UTC](https://community.ultralytics.com/t/about-the-research-category/25 "2024-06-13T23:05:51Z")
A place to discuss and share recent or interesting research publications. --- ## [YOLOv11 Official Paper](https://community.ultralytics.com/t/yolov11-official-paper/991)
**Author:** [@KristineLyn](https://community.ultralytics.com/u/KristineLyn)\ **Replies:** 1\ **Last updated:** [April 20, 2025, 1:25pm UTC](https://community.ultralytics.com/t/yolov11-official-paper/991 "2025-04-20T13:25:53Z")
Maybe this is a stupid question. Is there any YOLOv11 official paper from ultralytics ? I need it on my research as a reference. --- ## [\[RESEARCH\] ODVerse33: Is the New YOLO Version Always Better?](https://community.ultralytics.com/t/research-odverse33-is-the-new-yolo-version-always-better/870)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [March 19, 2025, 3:04pm UTC](https://community.ultralytics.com/t/research-odverse33-is-the-new-yolo-version-always-better/870 "2025-03-19T15:04:00Z")
The study’s findings, based on the ODverse33 benchmark (introduced by this publication), challenge the assumption that newer YOLO versions are always superior. The authors observe fluctuations in performance across dom… --- ## [\[DATASET\] WebUOT-1M: Advancing Deep Underwater Object Tracking](https://community.ultralytics.com/t/dataset-webuot-1m-advancing-deep-underwater-object-tracking/803)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [February 27, 2025, 12:49pm UTC](https://community.ultralytics.com/t/dataset-webuot-1m-advancing-deep-underwater-object-tracking/803 "2025-02-27T12:49:26Z")
If you want to check out a smaller sample of the dataset, check out this toy dataset put together by our friends at Voxel51! --- ## [\[RESEARCH\] YOLO(v)12 published](https://community.ultralytics.com/t/research-yolo-v-12-published/786)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 1\ **Last updated:** [February 20, 2025, 2:25pm UTC](https://community.ultralytics.com/t/research-yolo-v-12-published/786 "2025-02-20T14:25:56Z")
…soon --- ## [\[Research\] Microsoft uses YOLOv8 in new OmniParser GUI-based Agent](https://community.ultralytics.com/t/research-microsoft-uses-yolov8-in-new-omniparser-gui-based-agent/448)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [October 29, 2024, 1:29pm UTC](https://community.ultralytics.com/t/research-microsoft-uses-yolov8-in-new-omniparser-gui-based-agent/448 "2024-10-29T13:29:13Z")
ArXiv Paper Project Page GitHub Repository OMNIPARSER, a comprehensive method for parsing user interface screenshots into structured elements, which significantly enhances the ability of GPT-4V to generate actions t… --- ## [DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception](https://community.ultralytics.com/t/doclayout-yolo-enhancing-document-layout-analysis-through-diverse-synthetic-data-and-global-to-local-adaptive-perception/386)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [October 23, 2024, 12:11pm UTC](https://community.ultralytics.com/t/doclayout-yolo-enhancing-document-layout-analysis-through-diverse-synthetic-data-and-global-to-local-adaptive-perception/386 "2024-10-23T12:11:45Z")
Code --- ## [Deep Learning-Based Intelligent Detection Algorithm for Surface Disease in Concrete Buildings](https://community.ultralytics.com/t/deep-learning-based-intelligent-detection-algorithm-for-surface-disease-in-concrete-buildings/323)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [October 3, 2024, 8:53pm UTC](https://community.ultralytics.com/t/deep-learning-based-intelligent-detection-algorithm-for-surface-disease-in-concrete-buildings/323 "2024-10-03T20:53:41Z")
Also covered by AZOBuild (construction industry publication) --- ## [HSP-YOLOv8: UAV Aerial Photography](https://community.ultralytics.com/t/hsp-yolov8-uav-aerial-photography/249)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [September 3, 2024, 11:38pm UTC](https://community.ultralytics.com/t/hsp-yolov8-uav-aerial-photography/249 "2024-09-03T23:38:08Z")
Uses Space-to-Depth Convolution (SPD-Conv) and Soft-NMS for improving small object detection on UAVs. Module for SPD-Conv already included in ultralytics called Focus if you want to try playing around with it. We don’t… --- ## [The original YOLO publications](https://community.ultralytics.com/t/the-original-yolo-publications/58)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 1\ **Last updated:** [July 16, 2024, 8:24am UTC](https://community.ultralytics.com/t/the-original-yolo-publications/58 "2024-07-16T08:24:45Z")
Publications by Joesph Redmon --- ## [A Comprehensive Review of YOLO: from YOLOv1 to YOLOv8 and Beyond](https://community.ultralytics.com/t/a-comprehensive-review-of-yolo-from-yolov1-to-yolov8-and-beyond/63)
**Author:** [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\ **Replies:** 0\ **Last updated:** [July 3, 2024, 10:37pm UTC](https://community.ultralytics.com/t/a-comprehensive-review-of-yolo-from-yolov1-to-yolov8-and-beyond/63 "2024-07-03T22:37:33Z")
A nice overview of the model design history for the YOLO model structures. :yolo: