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Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
ErikStammes, TomF.H.Runia, MichaelHofmann....
Published date-11/09/2020
SemanticSegmentation, Weakly-SupervisedSemanticSegmentation
Semantic segmentation is a task that traditionally requires a large dataset of pixel-level ground truth labels, which is time-consuming and expensive to obtain. Recent advancements in the weakly-supervised setting show …
Predicting Landsat Reflectance with Deep Generative Fusion
ShahineBouabid, MaximChernetskiy, MaximeRischard....
Published date-11/09/2020
TimeSeries
Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage. This hinders their potential to assist …
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
M.TuluhanAkbulut, UtkuBozdogan, AhmetTekden....
Published date-11/09/2020
VariationalInference
The aim of this paper is to study the reward based policy exploration problem in a supervised learning approach and enable robots to form complex movement trajectories in challenging reward …
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
RikvanNoord, AntonioToral, JohanBos....
Published date-11/09/2020
LanguageModelling, SemanticParsing
We combine character-level and contextual language model representations to improve performance on Discourse Representation Structure parsing. Character representations can easily be added in a sequence-to-sequence model in either one encoder …
VisBERT: Hidden-State Visualizations for Transformers
BettyvanAken, BenjaminWinter, AlexanderLöser....
Published date-11/09/2020
QuestionAnswering
Explainability and interpretability are two important concepts, the absence of which can and should impede the application of well-performing neural networks to real-world problems. At the same time, they are …
End-to-end Lane Shape Prediction with Transformers
RuijinLiu, Zejianyuan, TieLiu....
Published date-11/09/2020
AutonomousVehicles, LaneDetection
Lane detection, the process of identifying lane markings as approximated curves, is widely used for lane departure warning and adaptive cruise control in autonomous vehicles. The popular pipeline that solves …