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Found 8 papers, 0 papers with code
A quantification of how much crypto-miners are driving up the wholesale cost of energy in Texas
Here we investigate the increase in wholesale price on Texas ERCOT grid due to energy consumption from cryptocurrency mining.
BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras
The images captured by under-display cameras (UDCs) are degraded by the screen in front of them.
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
We propose a method of using videos automatically harvested from the web to identify a larger region of the target object by using temporal information, which is not present in the static image.
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations.
Robust Tumor Localization with Pyramid Grad-CAM
There have been various studies concerning automated lesion detection.
Mutual Suppression Network for Video Prediction using Disentangled Features
Video prediction can be performed by finding features in recent frames, and using them to generate approximations to upcoming frames.
Ranked #1 on
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Training IBM Watson using Automatically Generated Question-Answer Pairs
Under the assumption that using such an automatically generated dataset could relieve the burden of manual question-answer generation, we tried to use this dataset to train an instance of Watson and checked the training efficiency and accuracy.
LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems
In computer security, designing a robust intrusion detection system is one of the most fundamental and important problems.
