
-
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
Deep Reinforcement Learning (DRL) connects the classic Reinforcement Lea...
read it
-
Unsupervised Difficulty Estimation with Action Scores
Evaluating difficulty and biases in machine learning models has become o...
read it
-
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning
Around the globe, ticks are the culprit of transmitting a variety of bac...
read it
-
Black-Box Optimization of Object Detector Scales
Object detectors have improved considerably in the last years by using a...
read it
-
Perception for Autonomous Systems (PAZ)
In this paper we introduce the Perception for Autonomous Systems (PAZ) s...
read it
-
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?
Reinforcement learning (RL) algorithms should learn as much as possible ...
read it
-
Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
Estimating epistemic uncertainty of models used in low-latency applicati...
read it
-
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
Facial emotion recognition is the task to classify human emotions in fac...
read it
-
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Deep learning models are extensively used in various safety critical app...
read it
-
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics
Marine and Underwater resources are important part of the economy of man...
read it
-
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Fast estimates of model uncertainty are required for many robust robotic...
read it
-
Learning Objectness from Sonar Images for Class-Independent Object Detection
Detecting novel objects without class information is not trivial, as it ...
read it
-
Deep Neural Networks for Marine Debris Detection in Sonar Images
Garbage and waste disposal is one of the biggest challenges currently fa...
read it
-
Implementing Noise with Hash functions for Graphics Processing Units
We propose a modification to Perlin noise which use computable hash func...
read it
-
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
Noncritical soft-faults and model deviations are a challenge for Fault D...
read it
-
Image Captioning and Classification of Dangerous Situations
Current robot platforms are being employed to collaborate with humans in...
read it
-
Real-time Convolutional Neural Networks for Emotion and Gender Classification
In this paper we propose an implement a general convolutional neural net...
read it
-
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition
Convolutional Neural Networks (CNN) have revolutionized perception for c...
read it
-
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks
Forward-looking sonar can capture high resolution images of underwater s...
read it
-
Real-time convolutional networks for sonar image classification in low-power embedded systems
Deep Neural Networks have impressive classification performance, but thi...
read it
-
Improving Sonar Image Patch Matching via Deep Learning
Matching sonar images with high accuracy has been a problem for a long t...
read it