Few-shot Object Detection on Remote Sensing Images

In this paper, we deal with the problem of object detection on remote sensing images. Previous methods have developed numerous deep CNN-based methods for object detection on remote sensing images and the report remarkable achievements in detection performance and efficiency. However, current CNN-based methods mostly require a large number of annotated samples to train deep neural networks and tend to have limited generalization abilities for unseen object categories. In this paper, we introduce a few-shot learning-based method for object detection on remote sensing images where only a few annotated samples are provided for the unseen object categories. More specifically, our model contains three main components: a meta feature extractor that learns to extract feature representations from input images, a reweighting module that learn to adaptively assign different weights for each feature representation from the support images, and a bounding box prediction module that carries out object detection on the reweighted feature maps. We build our few-shot object detection model upon YOLOv3 architecture and develop a multi-scale object detection framework. Experiments on two benchmark datasets demonstrate that with only a few annotated samples our model can still achieve a satisfying detection performance on remote sensing images and the performance of our model is significantly better than the well-established baseline models.Comment: 12pages, 7 figure

Poly[[diaqua­[μ2-3-carb­oxy-5-(pyridine-4-carboxamido)­benzoato][μ4-5-(pyridine-4-carboxamido)­isophthalato]cerium(III)] monohydrate]

In the title compound, {[Ce(C14H9N2O5)(C14H8N2O5)(H2O)2]·H2O}n, three carboxyl groups of two independent isophthalate anions are deprotonated and they bridge the CeIII cations, forming a two-dimensional polymeric structure parallel to (001); another carboxyl group is not deprotonated and links with the adjacent pyridine ring via an O—H⋯N hydrogen bond. The CeIII cation is coordinated by six O atoms from carboxyl groups and two O atoms from coordinated water mol­ecules in a distorted square-anti­prismatic arrangement. Extensive O—H⋯O and O—H⋯N hydrogen bonding occurs in the crystal structure

Poly[[[μ3-5-(pyridine-4-carboxamido)­isophthalato]{μ3-5-[(pyridin-1-ium-4-yl)carbonyl­amino]­isophthalato}­neodymium(III)] dihydrate]

In the title compound, {[Nd(C14H9N2O5)(C14H8N2O5)]·2H2O}n, the NdIII atom is eight-coordinated as it is surrounded by eight carboxyl­ate O atoms from six ligands in a distorted square-anti­prismatic arrangement. The NdIII atoms are linked by HL − and L 2− ligands [H2 L is 5-(pyridine-4-carboxamido)­isophthalic acid], forming a bilayer network. The layers are linked into a three-demensional network through N—H⋯O and O—H⋯O hydrogen bonds

Poly[[[bis­(acetato-κO)copper(II)]-μ-1,4-diimidazol-1-ylbenzene-κ2 N 3:N 3′] dihydrate]

In the title linear coordination polymer, {[Cu(C2H3O2)2(C12H10N4)]·2H2O}n, the CuII atom is coordinated by two N atoms from two different symmetry-related 1,4-diimidazol-1-ylbenzene (dib) ligands and two carboxyl­ate O atoms from two acetate ligands in a square-planar geometry. The Cu atoms are linked by the dib ligands, forming an extended chain. These chains are linked by O—H⋯O hydrogen bonds into a three-dimensional supra­molecular network. The CuII atom lies on a center of inversion

Poly[[tetra­aqua­tetra­kis­[μ3-5-(pyridine-4-carboxamido)­isophthalato]­cobalt(II)­diholmium(III)] tetra­hydrate]

In the centrosymmetric polymeric title compound, {[CoHo2(C14H8N2O5)4(H2O)4]·4H2O}n, the HoIII ion is coordinated by one water mol­ecule and four 5-(pyridine-4-carboxamido)­isophthalate (L) ligands in a distorted square-anti­prismatic arrangement. The CoII ion, located on an inversion center, is coordinated by two pyridine N atoms, two carboxyl­ate O atoms and two water mol­ecules in a distorted octa­hedral geometry. One L ligand bridges two Ho ions and one Co ion through two carboxyl­ate groups and one pyridine N atom. The other L ligand bridges two Ho ions and one Co ion through two carboxyl­ate groups, while the uncoordinated pyridine N atom accepts a hydrogen bond from an adjacent coordinated water mol­ecule. Extensive O—H⋯O, N—H⋯O and O—H⋯N hydrogen bonding is present in the crystal

A generic approach of polishing metals via isotropic electrochemical etching

Isotropic etching polishing (IEP), which is based on the merging of hemispherical holes that are formed by isotropic etching, is proposed in this study as a universal metal finishing approach. Modeling of the surface evolution during IEP is also carried out, and the formation of a metal surface is predicted. The etching anisotropy of titanium is experimentally studied, and the results show that isotropic etching can be realized under optimized conditions. Isotropic etching sites originate from a breakdown of the passivation layer. Both the density and growth rate of the holes are affected by the current, and a large etching current is preferred for the realization of highly efficient polishing. IEP has been shown to be effective and efficient for surface finishing of TA2. The surface Sa roughness is drastically reduced from 64.1 nm to 1.2 nm, and a maximum polishing rate of 15 μm/min is achieved under an etching current of 3 A. IEP has also been successfully applied for surface finishing of other metals, including TC4, stainless steel 304, aluminum alloy 6063 and pure nickel, demonstrating that IEP can be considered a universal approach for finishing metals

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Lane detection is one of the most important tasks in self-driving. Due to various complex scenarios (e.g., severe occlusion, ambiguous lanes, etc.) and the sparse supervisory signals inherent in lane annotations, lane detection task is still challenging. Thus, it is difficult for the ordinary convolutional neural network (CNN) to train in general scenes to catch subtle lane feature from the raw image. In this paper, we present a novel module named REcurrent Feature-Shift Aggregator (RESA) to enrich lane feature after preliminary feature extraction with an ordinary CNN. RESA takes advantage of strong shape priors of lanes and captures spatial relationships of pixels across rows and columns. It shifts sliced feature map recurrently in vertical and horizontal directions and enables each pixel to gather global information. RESA can conjecture lanes accurately in challenging scenarios with weak appearance clues by aggregating sliced feature map. Moreover, we propose a Bilateral Up-Sampling Decoder that combines coarse-grained and fine-detailed features in the up-sampling stage. It can recover the low-resolution feature map into pixel-wise prediction meticulously. Our method achieves state-of-the-art results on two popular lane detection benchmarks (CULane and Tusimple). Code has been made available at: https://github.com/ZJULearning/resa

Adrenomedullin expression in epithelial ovarian cancers and promotes HO8910 cell migration associated with upregulating integrin α5β1 and phosphorylating FAK and paxillin

<p>Abstract</p> <p>Background</p> <p>Epithelial ovarian cancer (EOC) is one of the leading causes of cancer deaths in women worldwide. Adrenomedullin (AM) is a multifunctional peptide which presents in various kinds of tumors.</p> <p>Methods</p> <p>In this study, we characterized the expression and function of AM in epithelial ovarian cancer using immunohistochemistry staining. Exogenous AM and small interfering RNA (siRNA) specific for AM receptor CRLR were treated to EOC cell line HO8910. Wound healing assay and flow cytometry were used to measure the migration ability and expression of integrin α5 of HO8910 cells after above treatments. Western blot was used to examine the phosphorylation of FAK and paxillin.</p> <p>Results</p> <p>We found that patients with high AM expression showed a higher incidence of metastasis, larger residual size of tumors after cytoreduction and shorter disease-free and overall survival time. Exogenous AM induced ovarian cancer cell migration in time- and dose- dependent manners. AM upregulated the expression of integrin α5 and phosphorylation of FAK, paxillin as well.</p> <p>Conclusions</p> <p>Our results suggested that AM contributed to the progression of EOC and had additional roles in EOC cell migration by activating the integrin α5β1 signaling pathway. Therefore, we presumed that AM could be a potential molecular therapeutic target for ovarian carcinoma.</p