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To run pretrained DeepMask/SharpMask models to generate object proposals, follow these steps: 1. Clone this repository into … See more
DeepMask is an object proposal algorithm based on a convolutional neural network. Given an input image patch, DeepMask generates a class-agnostic mask and an associated score which …
DeepMaskFull: The two FC layers at the path for predicting the segmentation mask are replaced by one FC layer directly mapped from the 512×14×14 feature maps to the 56×56 …
COVID-19 pandemic is the main reason people must wear face masks in public places. Traditionally, officers monitor the use of face masks in the public area manually. …
When we look at satellite images of refugee camps, we can easily distinguish between shelters and other different objects. If
Problem (DeepMask annotation format requires Bounding Box): DeepMask annotation format, as shown in second blog, does not work with sole points but requires bounding box information, …
Introduction. This repository contains a Torch implementation for both the DeepMask and SharpMask object proposal algorithms.. DeepMask is trained with two objectives: given an …
DeepMask is a system to detect people not wearing face masks, and swiftly deliver their punishment. This punishment includes, but is not limited to, Inclusio...
MMasked is the online deepfake video creator, which allows you to create a deepfake video of any subject doing anything you want ( see example here ). This subject being you, or this subject …
The -batch 8 flag only helps for the training procedure (train.lua). If you run out of memory while using computeProposals.lua, your image is too large.
To construct our detection model, we collect the dataset, conduct pre-processing, and train the model by tuning multiple parameters to obtain the highest accuracy and tiny loss. …
Experimental results show that DeepMask can increase the performance of state-of-the-art DNN models against adversarial samples. Discover the world's research 20+ million …
The main new algorithms driving our advances are the DeepMask 1 segmentation framework coupled with our new SharpMask 2 segment refinement module. Together, they …
DeepMask also achieves 91.02% accuracy on all-land-type dataset. Compared with other CNN-based cloud mask algorithms, DeepMask benefits from the parsimonious …
In this work, we present a simple way to detect such fake face images - so-called DeepFakes. Our method is based on a classical frequency domain analysis followed by basic …
DeepMask also achieves 91.02% accuracy on all-land-type dataset. Compared with other CNN-based cloud mask algorithms, DeepMask benefits from the parsimonious …
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The magic doesn’t end with the cafe, though; there’s a whole bunch of take-out items for Potterheads to bring with them as they journey back into their normal, Muggle lives, …
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