activity
20202022
most citedFree Lunch for Few-shot Learning: Distribution Calibration

181 citations · 239 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022★ 21 cited

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Shuo Yang, Zeke Xie, Hanyu Peng +3

The great success of deep learning heavily relies on increasingly larger training data, which comes at a price of huge computational and infrastructural costs. This poses crucial q…

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★ 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…

cs.CV2020★ 2 cited

Single-View 3D Object Reconstruction from Shape Priors in Memory

Shuo Yang, Min Xu, Haozhe Xie +2

Existing methods for single-view 3D object reconstruction directly learn to transform image features into 3D representations. However, these methods are vulnerable to images contai…