157 research outputs found
A novel, <i>de novo</i> mutation in <i>PRKAG2</i> gene:infantile-onset phenotype and signaling pathway involved
A novel, <i>de novo</i> mutation in <i>PRKAG2</i> gene:infantile-onset phenotype and signaling pathway involved
Open-Set Image Tagging with Multi-Grained Text Supervision
In this paper, we introduce the Recognize Anything Plus Model (RAM++), an
open-set image tagging model effectively leveraging multi-grained text
supervision. Previous approaches (e.g., CLIP) primarily utilize global text
supervision paired with images, leading to sub-optimal performance in
recognizing multiple individual semantic tags. In contrast, RAM++ seamlessly
integrates individual tag supervision with global text supervision, all within
a unified alignment framework. This integration not only ensures efficient
recognition of predefined tag categories, but also enhances generalization
capabilities for diverse open-set categories. Furthermore, RAM++ employs large
language models (LLMs) to convert semantically constrained tag supervision into
more expansive tag description supervision, thereby enriching the scope of
open-set visual description concepts. Comprehensive evaluations on various
image recognition benchmarks demonstrate RAM++ exceeds existing
state-of-the-art (SOTA) open-set image tagging models on most aspects.
Specifically, for predefined commonly used tag categories, RAM++ showcases 10.2
mAP and 15.4 mAP enhancements over CLIP on OpenImages and ImageNet. For
open-set categories beyond predefined, RAM++ records improvements of 5.0 mAP
and 6.4 mAP over CLIP and RAM respectively on OpenImages. For diverse
human-object interaction phrases, RAM++ achieves 7.8 mAP and 4.7 mAP
improvements on the HICO benchmark. Code, datasets and pre-trained models are
available at \url{https://github.com/xinyu1205/recognize-anything}.Comment: Homepage: https://github.com/xinyu1205/recognize-anythin
Correlation between intercalated magnetic layers and superconductivity in pressurized EuFe2(As0.81P0.19)2
We report comprehensive high pressure studies on correlation between
intercalated magnetic layers and superconductivity in EuFe2(As0.81P0.19)2
single crystal through in-situ high pressure resistance, specific heat, X-ray
diffraction and X-ray absorption measurements. We find that an unconfirmed
magnetic order of the intercalated layers coexists with superconductivity in a
narrow pressure range 0-0.5GPa, and then it converts to a ferromagnetic (FM)
order at pressure above 0.5 GPa, where its superconductivity is absent. The
obtained temperature-pressure phase diagram clearly demonstrates that the
unconfirmed magnetic order can emerge from the superconducting state. In stark
contrast, the superconductivity cannot develop from the FM state that is
evolved from the unconfirmed magnetic state. High pressure X-ray absorption
(XAS) measurements reveal that the pressure-induced enhancement of Eu's mean
valence plays an important role in suppressing the superconductivity and tuning
the transition from the unconfirmed magnetic state to a FM state. The unusual
interplay among valence state of Eu ions, magnetism and superconductivity under
pressure may shed new light on understanding the role of the intercalated
magnetic layers in Fe-based superconductors
- …