4,464 research outputs found
3-Hydroxy-4-(3-hydroxyphenyl)-2-quinolone monohydrate
In the title compound, also known as viridicatol monohydrate, C15H11NO3·H2O, the dihedral angle between the benzene ring and quinoline ring system is 64.76 (5)°. An intramolecular O—H⋯O hydrogen bond occurs. The crystal structure is stabilized by classical intermolecular N—H⋯O and O—H⋯O hydrogen bonds and weak π–π interactions with a centroid–centroid distance of 3.8158 (10) Å
3,6,8-Trihydroxy-3,4,5,7-tetramethyl-3,4-dihydroisocoumarin
In the title compound, C13H16O5, one of the three hydroxy groups is involved in intramolecular O—H⋯O hydrogen bonds. The other two hydroxy groups contribute to the three-dimensional hydrogen-bonding network, which consolidates the crystal packing
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Image super-resolution (SR) has witnessed extensive neural network designs
from CNN to transformer architectures. However, prevailing SR models suffer
from prohibitive memory footprint and intensive computations, which limits
further deployment on edge devices. This work investigates the potential of
network pruning for super-resolution to take advantage of off-the-shelf network
designs and reduce the underlying computational overhead. Two main challenges
remain in applying pruning methods for SR. First, the widely-used filter
pruning technique reflects limited granularity and restricted adaptability to
diverse network structures. Second, existing pruning methods generally operate
upon a pre-trained network for the sparse structure determination, hard to get
rid of dense model training in the traditional SR paradigm. To address these
challenges, we adopt unstructured pruning with sparse models directly trained
from scratch. Specifically, we propose a novel Iterative Soft
Shrinkage-Percentage (ISS-P) method by optimizing the sparse structure of a
randomly initialized network at each iteration and tweaking unimportant weights
with a small amount proportional to the magnitude scale on-the-fly. We observe
that the proposed ISS-P can dynamically learn sparse structures adapting to the
optimization process and preserve the sparse model's trainability by yielding a
more regularized gradient throughput. Experiments on benchmark datasets
demonstrate the effectiveness of the proposed ISS-P over diverse network
architectures. Code is available at
https://github.com/Jiamian-Wang/Iterative-Soft-Shrinkage-SRComment: Accepted by ICCV 2023, code released at
https://github.com/Jiamian-Wang/Iterative-Soft-Shrinkage-S
EXPLORATION AND OPTIMIZATION OF THE CONSTRUCTION PATH OF ECOLOGICAL CIVILIZATION EDUCATION FROM THE PERSPECTIVE OF EDUCATIONAL PSYCHOLOGY
EXPLORATION AND OPTIMIZATION OF THE CONSTRUCTION PATH OF ECOLOGICAL CIVILIZATION EDUCATION FROM THE PERSPECTIVE OF EDUCATIONAL PSYCHOLOGY
A Case of Cutaneous Nocardiosis with Involvement of the Trachea, Anterior Mediastinum and Sternum
Nocardiosis is a rare infectious disease due to Nocardia infections. In this report, we present a rare case of cutaneous nocardiosis with involvement of the trachea, anterior mediastinum and sternum. The strain of Nocardia has been isolated from bacterial culture of infected tissue. 16s rRNA sequencing confirmed that it contained the Nocardia genus. The patient was successfully treated with Co-SMZ
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