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ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
HaoLi, HuaiYu, WenYang....
Published date-11/06/2020
LineSegmentDetection
Line segment detection is essential for high-level tasks in computer vision and robotics. Currently, most stateof-the-art (SOTA) methods are dedicated to detecting straight line segments in undistorted pinhole images, thus …
Domain Adaptive Person Re-Identification via Coupling Optimization
XiaobinLiu, ShiliangZhang....
Published date-11/06/2020
DomainAdaptivePersonRe-Identification, PersonRe-Identification, TransferLearning, UnsupervisedPersonRe-Identification
Domain adaptive person Re-Identification (ReID) is challenging owing to the domain gap and shortage of annotations on target scenarios. To handle those two challenges, this paper proposes a coupling optimization …
Deep coastal sea elements forecasting using U-Net based models
JesúsGarcíaFernández, IsmailAlaouiAbdellaoui, SiamakMehrkanoon....
Published date-11/06/2020
WeatherForecasting
Due to the development of deep learning techniques applied to satellite imagery, weather forecasting that uses remote sensing data has also been the subject of major progress. The present paper …
Single-Node Attack for Fooling Graph Neural Networks
BenFinkelshtein, ChaimBaskin, EvgeniiZheltonozhskii....
Published date-11/06/2020
Graph neural networks (GNNs) have shown broad applicability in a variety of domains. Some of these domains, such as social networks and product recommendations, are fertile ground for malicious users …
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs
EmmaRocheteau, DoyoonKim....
Published date-11/06/2020
TransferLearning
Melanoma is not the most common form of skin cancer, but it is the most deadly. Currently, the disease is diagnosed by expert dermatologists, which is costly and requires timely …
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
MeikeNauta, AnnemarieJutte, JesperProvoost....
Published date-11/05/2020
Image recognition with prototypes is considered an interpretable alternative for black box deep learning models. Classification depends on the extent to which a test image "looks like" a prototype. However, …