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Molecular representation learning with language models and domain-relevant auxiliary tasks
BenedekFabian, ThomasEdlich, HélénaGaspar....
Published date-11/26/2020
DrugDiscovery, RepresentationLearning
We apply a Transformer architecture, specifically BERT, to learn flexible and high quality molecular representations for drug discovery problems. We study the impact of using different combinations of self-supervised tasks …
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
QijianZhang, RunminCong, ChongyiLi....
Published date-11/26/2020
ObjectDetection, SalientObjectDetection
Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains an open and challenging problem. …
TinaFace: Strong but Simple Baseline for Face Detection
YanjiaZhu, HongxiangCai, ShuhanZhang....
Published date-11/26/2020
DataAugmentation, FaceDetection, ObjectDetection
Face detection has received intensive attention in recent years. Many works present lots of special methods for face detection from different perspectives like model architecture, data augmentation, label assignment and …
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space
MajidMoghadam, AliAlizadeh, EnginTekin....
Published date-11/26/2020
DecisionMaking, MotionPlanning, TimeSeries
Tactical decision making and strategic motion planning for autonomous highway driving are challenging due to the complication of predicting other road users' behaviors, diversity of environments, and complexity of the …
Generalization in Reinforcement Learning by Soft Data Augmentation
NicklasHansen, XiaolongWang....
Published date-11/26/2020
DataAugmentation
Extensive efforts have been made to improve the generalization ability of Reinforcement Learning (RL) methods via domain randomization and data augmentation. However, as more factors of variation are introduced during …
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
KaiteXiang, KailunYang, KaiweiWang....
Published date-11/26/2020
AutonomousVehicles, SemanticSegmentation
Semantic Segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on. However, traditional SS is primarily based on RGB images, which …