WebJan 23, 2024 · There are mainly two types of state-of-the-art object detectors. On one hand, we have two-stage detectors, such as Faster R-CNN (Region-based Convolutional Neural Networks) or Mask R-CNN, that (i) use a Region Proposal Network to generate regions of interests in the first stage and (ii) send the region proposals down the pipeline for object … WebJan 28, 2024 · 13. One-stage detectors: Object classification and bounding-box regression are done directly without using pre-generated region proposals (candidate object …
The Battle of Speed vs. Accuracy: Single-Shot vs. Two-Shot …
WebMay 10, 2024 · A computer views all kinds of visual media as an array of numerical values. As a consequence of this approach, they require image processing algorithms to inspect contents of images. This project compares 3 major image processing algorithms: Single Shot Detection (SSD), Faster Region based Convolutional Neural Networks (Faster R … Web[1] Topper in each of the 4 semesters among MS by Research students of IISER-K. [2] Awarded full travel support & accommodation for participating in the Indo-US workshop on Time Series Analysis during May 25-30, 2015 at Indian Institute of Science Education and Research , IISER, Pune. irs 1411 final regulations
Novel Two-Stage Detection for MIMO OFDM Systems with …
WebApr 21, 2024 · Two-stage detectors are highly accurate in terms of localization and classification, whereas one-stage detectors have greater speed in terms of real-time … WebApr 10, 2024 · Detection of the mutation number of selected genes in cfDNA demonstrated good diagnostic performance for early-stage LUAD. Moreover, detecting the number of somatic mutations in mitochondria can potentially be a better tool for diagnosing early-stage LUAD. Plasma cfDNA diagnostic prediction for early-stage LUAD with logistic regression … Webadaptive two-stage forgery detection method based on super-pixel segmentation and parallel feature fusion. e proposed method is shown in Fig. 1, where it can be seen that it includes two stages, coarse-grained detection and ne-grained detection. In the rst stage, the simple linear iterative cluster (SLIC) algorithm is used to portable freezer units for trucks