比如有两个相同IoU的样本，一个位于目标的内部(如下图1)，另一个没有在目标的内部(如下图2)，显然...
【小样本检测-多尺度】Multi-Scale Positive Sample Refinement for Few-Shot Object Detection paper:https://arxiv.org/pdf/2007.09384.pdf code:https://github.com/jiaxi-wu/MPSR 1.主要创新点 现有小样本检测工作大多采用类似小样本分类的方法,采用迁移学习的流程,将基类上学习到的知识迁移到新类。然而小样本...
Physics-aware Self-supervised Training of CNNs for Object Detection Impressive progress has been achieved recently in object detection with the use of deep learning. Nevertheless, such tools typically require large amounts of training data and significant manual effort for labeling objects. This limits...
Images and annotations taken from -https://github.com/bourdakos1/Custom-Object-Detection Images consists of frames taken from a clip from Star Wars: The Force Awakens. Annotations are present for each frame and have the same name as the image name. You can find the example to train a mode...
void ObjectDetect::DrawBoundBoxToImage(vector<BBox>& detectionResults, const string& origImagePath) { cv::Mat image = cv::imread(origImagePath); // , CV_LOAD_IMAGE_UNCHANGED for (int i = 0; i < detectionResults.size(); ++i) { cv::Point p1, p2; p1.x = detectionResults[i].re...
Object detection is the task of finding a region of interest in a given image, predicting its category and covering it with a rectangle box tightly. It is relatively difficult to directly optimize the category and location of the object. In order to alleviate the problem, one important idea ...
void ObjectDetect::DrawBoundBoxToImage(vector<BBox>& detectionResults, const string& origImagePath) { cv::Mat image = cv::imread(origImagePath); // , CV_LOAD_IMAGE_UNCHANGED for (int i = 0; i < detectionResults.size(); ++i) { cv::Point p1, p2; p1.x = detectionResults[i].re...
Context Driven Focus of Attention for Object Detection Summary: Context plays an important role in general scene perception. In particular, it can provide cues about an object's location within an image. In com... R Perko,A Leonardis - DBLP 被引量: 26发表: 2007年 Orbitrap for ILMA: Ion...
Method and system for multiple object detection by sequential Monte Carlo and hierarchical detection network The detection of each object in the image is performed by obtaining a plurality of sample poses for the object from a proposal distribution, weighting ... M Sofka,J Zhang,SK Zhou,... -...
The FaceDetector is intended to operate on a static image or a single frame of video and is not optimized for video playback or live camera streams. In order to track human faces in real-time, either through a live stream or a video clip, use the FaceTracker API instead....