Change detectionObject levelAttentionDual learningData augmentationAutomatic change detection from remotely sensed imagery is extremely important for many applications, including land use mapping. In recent year
To address these issues, we introduce a novel method that leverages change correspondences (a) during training to improve change detection accuracy, and (b) at test time, to minimize false positives. That is, we harness the supervision labels of where an object is added or removed to ...
2) change-detection image 变化检测图象3) object detection 对象检测 1. In this paper,we proposed novel moving object detection based on spatial-temporal method in compressed domain,which mainly depended on the motion vector field and efficiently segmented the object. 264码流中准确有效地分割和...
We first change the backbone of our ID extractor from the DINOv2 [36] to CLIP image encoder [39], which is widely used in previous counterparts like [47, 56]. We find the generated results lose the identity features, and could only keep the semantic consistency. Then, we set t...
Francini S, McRoberts RE, Giannetti F, Mencucci M, Marchetti M, Scarascia Mugnozza G, Chirici G (2020) Near-real time forest change detection using PlanetScope imagery. Eur J Remote Sens 53(1):233–244 Article Google Scholar Gamanya R, De Maeyer P, De Dapper M (2007) An automate...
Feature learning and change feature classification based on deep learning for ternary change detection in SAR images 摘要 三元变更检测旨在检测变化,并将变化变为积极变化和负变化。在空间颞织物合成孔径雷达图像的联合解释中具有重要意义。在本研究中,结合了稀疏的AutoEncoder,卷...【...
Addressing BOLA ultimately requires changes to the application itself to adequately enforce object level authorization. In order to do so, however, you have to identify the issue first. Detection of BOLA vulnerabilities, both in development and in production, is the first step in mitigating the ris...
Feature Pyramid Network for Object Detection 论文笔记 Feature Pyramid Network for Object Detection 论文链接: https://arxiv.org/abs/1612.03144 一、Problem Statement 特征金字塔在识别系统中是一个基本的组成部分,用于在不同尺度上检测目标。但是因为传统的特征金字塔计算和存储花费太大,作者就提出以一个较小的...
For video salient object detection (VSOD) tasks, the geometric variations of object foregrounds and backgrounds across multiple scales pose significant cha
Demo Evaluation Training Introduction Motivation: Beyond scale variation,appearance-complexity variationshould be considered too for the object detection task, due to that the object instances with similar size can be quite different. To solve this, we extend multi-scale detection fashions with a new...