most citedMetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images

25 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ex2026

Observation of the decays into

BESIII Collaboration, M. Ablikim, M. N. Achasov +780

By analyzing events collected with the BESIII detector operating at the BEPCII collider, the decays $χ_{cJ} \to pK^{-}\barΛη+ \mathrm{c.…

hep-ex2026

High-precision measurement of the space-like transition form factor

BESIII Collaboration, M. Ablikim, M. N. Achasov +779

Using a data sample corresponding to an integrated luminosity of , collected with the BESIII detector at a center-of-mass energy of at the…

hep-ex2026

Measurement of Born Cross Sections for at GeV and Observation of

BESIII Collaboration, M. Ablikim, M. N. Achasov +771

Using 44.55 fb of collision data collected by the BESIII detector at the BEPCII collider, we report the first measurement of the Born cross sections for the $e^+e^-…

hep-ex2026

Observation of and search for via transitions

BESIII Collaboration, M. Ablikim, M. N. Achasov +776

Using events collected by the BESIII detector operating at the BEPCII collider, the hadronic decay is observed fo…

cs.CV2023★ 25 cited

MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images

Libo Wang, Sijun Dong, Ying Chen +3

Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation applications, such as land use land cover mapping, environment monitoring, an…