Search Results for author: Zhicheng Yang

Found 7 papers, 3 papers with code

Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models

no code implementations23 Jun 2022 Zhicheng Yang, Jui-Hsin Lai, Jun Zhou, Hang Zhou, Chen Du, Zhongcheng Lai

The Agriculture-Vision Challenge in CVPR is one of the most famous and competitive challenges for global researchers to break the boundary between computer vision and agriculture sectors, aiming at agricultural pattern recognition from aerial images.

Data Augmentation

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias

1 code implementation Findings (NAACL) 2022 Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang

However, current solvers exist solving bias which consists of data bias and learning bias due to biased dataset and improper training strategy.

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning

1 code implementation17 May 2022 Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang

To address this issue and make a step towards interpretable MWP solving, we first construct a high-quality MWP dataset named InterMWP which consists of 11, 495 MWPs and annotates interpretable logical formulas based on algebraic knowledge as the grounded linguistic logic of each solution equation.

Math Word Problem Solving

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms

no code implementations CVPR 2021 Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang

Starting with a fully supervised model trained on the data with pixel-level masks, the proposed framework iteratively refines the model itself using the entire weakly labeled data (image-level soft label) in a self-training fashion.

Prior Guided Feature Enrichment Network for Few-Shot Segmentation

3 code implementations4 Aug 2020 Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia

It consists of novel designs of (1) a training-free prior mask generation method that not only retains generalization power but also improves model performance and (2) Feature Enrichment Module (FEM) that overcomes spatial inconsistency by adaptively enriching query features with support features and prior masks.

Few-Shot Semantic Segmentation Semantic Segmentation

2D Attentional Irregular Scene Text Recognizer

no code implementations13 Jun 2019 Pengyuan Lyu, Zhicheng Yang, Xinhang Leng, Xiao-Jun Wu, Ruiyu Li, Xiaoyong Shen

Irregular scene text, which has complex layout in 2D space, is challenging to most previous scene text recognizers.

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