Search Results for author: Chenxi Lin

Found 7 papers, 2 papers with code

Tree-Based Hard Attention with Self-Motivation for Large Language Models

no code implementations14 Feb 2024 Chenxi Lin, Jiayu Ren, Guoxiu He, Zhuoren Jiang, Haiyan Yu, Xiaomin Zhu

Moreover, TEAROOM comprises a self-motivation strategy for another LLM equipped with a trainable adapter and a linear layer.

Hard Attention

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin

no code implementations1 Jan 2023 Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin

In particular, we developed a SpatioTemporal Classification with Attention (STCA) model to map the distribution of cashew plantations, which can fully capture texture information from discriminative time steps during a growing season.

Clustering Decision Making

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping

no code implementations16 Aug 2021 Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

Common techniques of addressing this issue, based on the underlying idea of pre-training the Deep Neural Networks (DNN) on freely available large datasets, cannot be used for Remote Sensing due to the unavailability of such large-scale labeled datasets and the heterogeneity of data sources caused by the varying spatial and spectral resolution of different sensors.

Clustering Representation Learning +1

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping

no code implementations2 May 2021 Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

The availability of massive earth observing satellite data provide huge opportunities for land use and land cover mapping.

Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement

1 code implementation19 Mar 2021 Lijun Gou, Shengkai Wu, Jinrong Yang, Hangcheng Yu, Chenxi Lin, Xiaoping Li, Chao Deng

To solve this problem, a novel image synthesis method is proposed to replace the foreground texture of the source datasets with the texture of the target datasets.

Image Generation object-detection +1

SCD: A Stacked Carton Dataset for Detection and Segmentation

1 code implementation25 Feb 2021 Jinrong Yang, Shengkai Wu, Lijun Gou, Hangcheng Yu, Chenxi Lin, Jiazhuo Wang, Minxuan Li, Xiaoping Li

In this paper, we present a large-scale carton dataset named Stacked Carton Dataset(SCD) with the goal of advancing the state-of-the-art in carton detection.

Instance Segmentation Semantic Segmentation

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