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SAR-Net: A End-to-End Deep Speech Accent Recognition Network
WeiWang, ChaoZhang, XiaopeiWu....
Published date-11/25/2020
FaceRecognition, SpeakerRecognition, SpeechRecognition
This paper proposes a end-to-end deep network to recognize kinds of accents under the same language, where we develop and transfer the deep architecture in speaker-recognition area to accent classification …
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 …
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs
CarlosLassance, LouisBéthune, MyriamBontonou....
Published date-11/25/2020
Measuring the generalization performance of a Deep Neural Network (DNN) without relying on a validation set is a difficult task. In this work, we propose exploiting Latent Geometry Graphs (LGGs) …
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
PeizeSun, RufengZhang, YiJiang....
Published date-11/25/2020
ObjectDetection, ObjectRecognition
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as $k$ anchor boxes pre-defined …
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 …
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 …