论文地址:Image Enhancement Guided Object Detection in Visually Degraded Scenes | IEEE Journals & Magazine | IEEE Xplore研究动机 在视觉退化的场景中,目标检测精度严重下降。通常,视觉退化场景是指图像外观退化且物体不太突出的场景,如水下、朦胧和弱光场景。对于这
In some examples, a fast R-CNN is used to detecting the possible abnormality in the test image.Shi Lei ZHANGQing WANGJie ZHANGYubo LIKe JIN
An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO Article Open access 22 January 2025 Microstructural segmentation using a union of attention guided U-Net models with different color transformed images Article Open access...
A.2. Guided Anchor based Cascade R-CNN (Airia- GA-Cascade) Yu Zhu and Qiang Chen zhuyu@airia.cn, qiang.chen@nlpr.ia.ac.cn Airia-GA-Cascade is Guided Anchor based Cascade R-CNN [2]. It is a multi-stage extension of the popular two-st...
Image recognition algorithms compare three-dimensional models and appearances from various perspectives using edge detection. They're frequently trained using guided machine learning on millions of labeled images. Image recognition use cases Image recognition is used to perform many machine-based visual task...
RegionNet 的输出经过 Saliency-Guided Refinement (反正就是一种人为设计的先验)优化后得到 Segmentation Mask。 用得到的 Segmentation Mask 训练分割网络 PixelNet。 将PixelNet 的输出作为 Object Seeds。 参考链接:《Weakly-Supervised Semantic Segmentation by Iterat...
RepPoints: Point Set Representation for Object Detection(RepPoints) FCOS: Fully Convolutional One-Stage Object Detection(FCOS) Mask-Guided Attention Network for Occluded Pedestrian Detection Learning Rich Features at High-Speed for Single-Shot Object Detection. ...
代码链接:GitHub - happinesslz/EPNet: EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020) 论文来源:2020 ECCV 1 Abstract 本文主要解决3D目标检测中的2个问题:多传感器数据融合和定位与分类置信度之间的不一致性。提出了一种新的融合模块,基于point-wise的方式,用语义图像特...
对抗样本(论文解读二): Transferable Adversarial Attacks for Image and Video Object Detection,程序员大本营,技术文章内容聚合第一站。
Image-guided MALDI MS approach To adapt single-cell approaches to objects that are tenfold smaller in diameter than cells measured previously, we created a method to enhance identification of micrometer-sized object locations while improving analyte detectability by minimizing the number of interfering ...