A Study on Pine Larva Detection System Using Swin Transformer and Cascade R-CNN Hybrid Model

Cascade R-CNN: Delving into High Quality Object Detection

In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections. However, detection performance tends to degrade with increasing the IoU thresholds. Two main factors are responsible for this: 1) overfitting during training, due to exponentially vanishing...

a study on construction of iranian life tables: the case study of modified brass logit system

چکیده ندارد.

ME R-CNN: Multi-Expert R-CNN for Object Detection

Recent CNN-based object detection methods have drastically improved their performances but still use a single classifier as opposed to ”multiple experts” in categorizing objects. The main motivation of introducing multi-experts is twofold: i) to allow different experts to specialize in different fundamental object shape priors and ii) to better capture the appearance variations caused by differ...

Pedestrian Detection with R-CNN

In this paper we evaluate the effectiveness of using a Region-based Convolutional Neural Network approach to the problem of pedestrian detection. Our dataset is composed of manually annotated video sequences from the ETH vision lab. Using selective search as our proposal method, we evaluate the performance of several neural network architectures as well as a baseline logistic regression unit. W...

Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study