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Hao Zhang

4 papers hereh-index 5752 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Hao Zhang — 23 papers, h 12
  • Hao Zhang — 18 papers, h 6
  • Hao Zhang — 15 papers, h 38
  • Hao Zhang — 13 papers, h 13
  • Hao Zhang — 13 papers, h 4
  • Hao Zhang — 13 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedShape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

77 citations · 141 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 6 cited

Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes

Hao Zhang, Shuaijie Zhang, Renbin Zou

Data augmentation refers to the process of applying a series of transformations or expansions to original data to generate new samples, thereby increasing the diversity and quantit…

cs.CV2024★ 58 cited

Focaler-IoU: More Focused Intersection over Union Loss

Hao Zhang, Shuaijie Zhang

Bounding box regression plays a crucial role in the field of object detection, and the positioning accuracy of object detection largely depends on the loss function of bounding box…

cs.CV2024★ 77 cited

Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

Hao Zhang, Shuaijie Zhang

As an important component of the detector localization branch, bounding box regression loss plays a significant role in object detection tasks. The existing bounding box regression…

cs.CV2023

Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

Hao Zhang, Cong Xu, Shuaijie Zhang

With the rapid development of detectors, Bounding Box Regression (BBR) loss function has constantly updated and optimized. However, the existing IoU-based BBR still focus on accele…

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