Search Results for author: Chenfan Zhuang

Found 2 papers, 1 papers with code

iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection

no code implementations9 Mar 2020 Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew R. Scott

We propose Image-Instance Full Alignment Networks (iFAN) to tackle this problem by precisely aligning feature distributions on both image and instance levels: 1) Image-level alignment: multi-scale features are roughly aligned by training adversarial domain classifiers in a hierarchically-nested fashion.

Domain Adaptation Metric Learning +1

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

2 code implementations ECCV 2018 Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang

We present a simple yet efficient approach capable of training deep neural networks on large-scale weakly-supervised web images, which are crawled raw from the Internet by using text queries, without any human annotation.

 Ranked #1 on Image Classification on Clothing1M (using clean data) (using extra training data)

Curriculum Learning Image Classification

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