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20152023
most citedFree Lunch for Few-shot Learning: Distribution Calibration

181 citations · 377 across the 15 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 15 cited

Objects in Semantic Topology

Shuo Yang, Peize Sun, Yi Jiang +6

A more realistic object detection paradigm, Open-World Object Detection, has arisen increasing research interests in the community recently. A qualified open-world object detector…

cs.LG2021★ 17 cited

Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network

Shuo Yang, Erkun Yang, Bo Han +4

In label-noise learning, estimating the transition matrix is a hot topic as the matrix plays an important role in building statistically consistent classifiers. Traditionally, the…

cs.CV2021★ 139 cited

Self-supervised Pretraining of Visual Features in the Wild

Priya Goyal, Mathilde Caron, Benjamin Lefaudeux +8

Recently, self-supervised learning methods like MoCo, SimCLR, BYOL and SwAV have reduced the gap with supervised methods. These results have been achieved in a control environment,…

cs.CV2021★ 3 cited

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

Jiahao Xia, Haimin Zhang, Shiping Wen +2

While Convolutional Neural Networks (CNNs) have significantly boosted the performance of face related algorithms, maintaining accuracy and efficiency simultaneously in practical us…

cs.LG2021★ 181 cited

Free Lunch for Few-shot Learning: Distribution Calibration

Shuo Yang, Lu Liu, Min Xu

Learning from a limited number of samples is challenging since the learned model can easily become overfitted based on the biased distribution formed by only a few training example…