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torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
YoshitomoMatsubara....
Published date-11/25/2020
ImageClassification, InstanceSegmentation, ObjectDetection
While knowledge distillation (transfer) has been attracting attentions from the research community, the recent development in the fields has heightened the need for reproducible studies and highly generalized frameworks to …
SurFree: a fast surrogate-free black-box attack
ThibaultMaho, TeddyFuron, ErwanLeMerrer....
Published date-11/25/2020
Machine learning classifiers are critically prone to evasion attacks. Adversarial examples are slightly modified inputs that are then misclassified, while remaining perceptively close to their originals. Last couple of years …
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods
VictorSaase, HolgerWenz, ThomasGanslandt....
Published date-11/25/2020
AnomalyDetection
Statistical analysis of magnetic resonance imaging (MRI) can help radiologists to detect pathologies that are otherwise likely to be missed. Deep learning (DL) has shown promise in modeling complex spatial …
The Unreasonable Effectiveness of Encoder-Decoder Networks for Retinal Vessel Segmentation
BjörnBrowatzki, Jörn-PhilippLies, ChristianWallraven....
Published date-11/25/2020
RetinalVesselSegmentation
We propose an encoder-decoder framework for the segmentation of blood vessels in retinal images that relies on the extraction of large-scale patches at multiple image-scales during training. Experiments on three …
PREDATOR: Registration of 3D Point Clouds with Low Overlap
ShengyuHuang, ZanGojcic, MikhailUsvyatsov....
Published date-11/25/2020
DeepAttention, PointCloudRegistration
We introduce PREDATOR, a model for pairwise point-cloud registration with deep attention to the overlap region. Different from previous work, our model is specifically designed to handle (also) point-cloud pairs …
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
XiangLi, WenhaiWang, XiaolinHu....
Published date-11/25/2020
DenseObjectDetection, ObjectClassification, ObjectDetection
Localization Quality Estimation (LQE) is crucial and popular in the recent advancement of dense object detectors since it can provide accurate ranking scores that benefit the Non-Maximum Suppression processing and …