most citedYOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

204 citations · 225 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023★ 204 cited

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

Yuming Chen, Xinbin Yuan, Jiabao Wang +4

We aim at providing the object detection community with an efficient and performant object detector, termed YOLO-MS. The core design is based on a series of investigations on how m…

cs.CV2022★ 2 cited

Generalizable Person Re-Identification via Viewpoint Alignment and Fusion

Bingliang Jiao, Lingqiao Liu, Liying Gao +5

In the current person Re-identification (ReID) methods, most domain generalization works focus on dealing with style differences between domains while largely ignoring unpredictabl…

cs.CV2022

Stereo Superpixel Segmentation Via Decoupled Dynamic Spatial-Embedding Fusion Network

Hua Li, Junyan Liang, Ruiqi Wu +3

Stereo superpixel segmentation aims at grouping the discretizing pixels into perceptual regions through left and right views more collaboratively and efficiently. Existing superpix…

cs.CV2022★ 12 cited

Underwater Ranker: Learn Which Is Better and How to Be Better

Chunle Guo, Ruiqi Wu, Xin Jin +4

In this paper, we present a ranking-based underwater image quality assessment (UIQA) method, abbreviated as URanker. The URanker is built on the efficient conv-attentional image Tr…

cs.CV2022★ 7 cited

Image Harmonization by Matching Regional References

Ziyue Zhu, Zhao Zhang, Zheng Lin +3

To achieve visual consistency in composite images, recent image harmonization methods typically summarize the appearance pattern of global background and apply it to the global for…