PartImageNet: A Large, High-Quality Dataset of Parts

1 code implementation • 2 Dec 2021 • Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille

To help address this problem, we propose PartImageNet, a large, high-quality dataset with part segmentation annotations.

Activity Recognition Few-Shot Learning +6

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning

1 code implementation • 1 Jun 2021 • Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille

In particular, we decouple the training of the representation and the classifier, and systematically investigate the effects of different data re-sampling techniques when training the whole network including a classifier as well as fine-tuning the feature extractor only.

Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition

no code implementations • 19 Feb 2021 • Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang

In this paper, a retrieval-based coarse-to-fine framework is proposed, where we re-rank the TopN classification results by using the local region enhanced embedding features to improve the Top1 accuracy (based on the observation that the correct category usually resides in TopN results).

Fine-Grained Image Classification Fine-Grained Image Recognition +2