To further improve the performance of the proposed method, we propose a skeleton-based search space to reduce false positive detection.
On top of the cytoplasm segmentation network, we included a scale aggregation function to refine and generate a final prediction.
To handle this new learning paradigm, we propose to include surrogate tasks that can leverage very powerful supervisory signals --derived from the data itself-- for semantic feature learning.
These blocks adaptively recalibrate the channel-wise feature responses by utilizing a self-gating mechanism of the global information embedding of the feature maps.
Ranked #4 on Lesion Segmentation on ISIC 2018
Despite the initial belief that Convolutional Neural Networks (CNNs) are driven by shapes to perform visual recognition tasks, recent evidence suggests that texture bias in CNNs provides higher performing models when learning on large labeled training datasets.
Ranked #2 on Few-Shot Semantic Segmentation on FSS-1000
To strengthen feature propagation and encourage feature reuse, we use densely connected convolutions in the last convolutional layer of the encoding path.
Ranked #1 on Lesion Segmentation on ISIC 2018 (F1-Score metric)
In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it.
In the proposed technique, first, the hand gesture and face location is extracted from the main image by combination of skin and cascade detector and then is sent to recognition stage.
License Plate Recognition (LPR) plays an important role on the traffic monitoring and parking management.
This method has been tested on available data set that has different images of the background, considering distance, and angel of view so that the correct extraction rate of plate reached at 98% and character recognition rate achieved at 99. 12%.
In the first one, from pure skin statistical features were extracted and at the second stage, the skin pixels are detected using HSV and YCbCr color spaces.
License Plate recognition plays an important role on the traffic monitoring and parking management systems.
This paper has been withdrawn by the author due to a crucial sign error in equation 2 and some mistake in Table 1 information.
Nowadays in developing or developed countries, the Intelligent Transportation System (ITS) technology has attracted so much attention to itself.
The system is then allowed to open parking barrier for the vehicle and generate entrance cost receipt.
In the first one, the skin intensity distribution is estimated using some train photos of pure skin, and at the second stage, the skin pixels are detected using Gaussian model and optimal threshold tuning.