Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches
A key challenge in computer vision and deep learning is the definition of robust strategies for the detection of adversarial examples. Here, we propose the adoption of ensemble approaches to leverage the effectiveness of…
UnityHeteroclinic cycling and extinction in May-Leonard models with demographic stochasticity
May and Leonard (SIAM J. Appl. Math 1975) introduced a three-species Lotka-Volterra type population model that exhibits heteroclinic cycling. Rather than producing a periodic limit cycle, the trajectory takes longer and …
MathUnityHigh-Order Signed Distance Transform of Sampled Signals
Signed distance transforms of sampled signals can be constructed better than the traditional exact signed distance transform. Such a transform is termed the high-order signed distance transform and is defined as satisfyi…
QuantizationUnityVocal Bursts Intensity PredictionPolynomial-Spline Neural Networks with Exact Integrals
Using neural networks to solve variational problems, and other scientific machine learning tasks, has been limited by a lack of consistency and an inability to exactly integrate expressions involving neural network archi…
Mixture-of-ExpertsregressionUnityA Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments
In this work we apply deep reinforcement learning to the problems of navigating a three-dimensional environment and inferring the locations of human speaker audio sources within, in the case where the only available info…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)+2hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
Automated surgical instrument localization is an important technology to understand the surgical process and in order to analyze them to provide meaningful guidance during surgery or surgical index after surgery to the s…
Instance Segmentationobject-detectionObject DetectionSemantic Segmentation+1Queuing model of axonal transport
The motor-driven intracellular transport of vesicles to synaptic targets in the axons and dendrites of neurons plays a crucial role in normal cell function. Moreover, stimulus-dependent regulation of active transport is …
modelUnityEffect of immunization through vaccination on the SIS epidemic spreading model
We analyze the susceptible-infected-susceptible model for epidemic spreading in which a fraction of the individuals become immune by vaccination. This process is understood as a dilution by vaccination, which decreases t…
UnitySpatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Model smoothing is of central importance for obtaining a reliable teacher model in the student-teacher framework, where the teacher generates surrogate supervision signals to train the student. A popular model smoothing …
UnityPCNN: A physics-constrained neural network for multiphase flows
The present study develops a physics-constrained neural network (PCNN) to predict sequential patterns and motions of multiphase flows (MPFs), which includes strong interactions among various fluid phases. To predict the …
UnityLearning Coated Adversarial Camouflages for Object Detectors
An adversary can fool deep neural network object detectors by generating adversarial noises. Most of the existing works focus on learning local visible noises in an adversarial "patch" fashion. However, the 2D patch atta…
ObjectObject DetectionRegion ProposalUnityComparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
Methods for learning from data depend on various types of tuning parameters, such as penalization strength or step size. Since performance can depend strongly on these parameters, it is important to compare classes of es…
regressionUnityThe Ecosystem Path to General AI
We start by discussing the link between ecosystem simulators and general AI. Then we present the open-source ecosystem simulator Ecotwin, which is based on the game engine Unity and operates on ecosystems containing inan…
Reinforcement Learning (RL)UnitySpecialize and Fuse: Pyramidal Output Representation for Semantic Segmentation
We present a novel pyramidal output representation to ensure parsimony with our "specialize and fuse" process for semantic segmentation. A pyramidal "output" representation consists of coarse-to-fine levels, where each l…
SegmentationSemantic SegmentationUnityThe Inelastic Market Hypothesis: A Microstructural Interpretation
We attempt to reconcile Gabaix and Koijen's (GK) recent Inelastic Market Hypothesis (IMH) with the order-driven view of markets that emerged within the microstructure literature in the past 20 years. We review the most s…
UnityProcedural Generation of 3D Maps with Snappable Meshes
In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints. The proposed approach avoids size and layout limi…
UnityOpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments
Background: The human mind is multimodal. Yet most behavioral studies rely on century-old measures such as task accuracy and latency. To create a better understanding of human behavior and brain functionality, we should …
EEGElectroencephalogram (EEG)UnityDeepSocNav: Social Navigation by Imitating Human Behaviors
Current datasets to train social behaviors are usually borrowed from surveillance applications that capture visual data from a bird's-eye perspective. This leaves aside precious relationships and visual cues that could b…
Social NavigationUnityOptimal input representation in neural systems at the edge of chaos
Shedding light onto how biological systems represent, process and store information in noisy environments is a key and challenging goal. A stimulating, though controversial, hypothesis poses that operating in dynamical r…
UnityUnity Perception: Generate Synthetic Data for Computer Vision
We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use and highly customizable toolset. This open…
2D Object Detectionobject-detectionObject DetectionUnity