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20162023
most citedPipeMare: Asynchronous Pipeline Parallel DNN Training

26 citations · 42 across the 8 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV202312 cited

Decoupled Local Aggregation for Point Cloud Learning

Binjie Chen, Yunzhou Xia, Yu Zang +2

The unstructured nature of point clouds demands that local aggregation be adaptive to different local structures. Previous methods meet this by explicitly embedding spatial relatio…

cs.CV2023

Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction

Ali Jamali, Swalpa Kumar Roy, Jonathan Li +1

In the domain of remote sensing image interpretation, road extraction from high-resolution aerial imagery has already been a hot research topic. Although deep CNNs have presented e…

cs.CV2023

Dynamic Clustering Transformer Network for Point Cloud Segmentation

Dening Lu, Jun Zhou, Kyle Yilin Gao +4

Point cloud segmentation is one of the most important tasks in computer vision with widespread scientific, industrial, and commercial applications. The research thereof has resulte…

cs.CL2023

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Jonathan Li, Will Aitken, Rohan Bhambhoria +1

Parameter-efficient tuning aims to mitigate the large memory requirements of adapting pretrained language models for downstream tasks. For example, one popular method, prefix-tunin…

cs.CV20231 cited

MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture

Diogo Nunes Goncalves, Jose Marcato Junior, Pedro Zamboni +4

Multi-task learning has proven to be effective in improving the performance of correlated tasks. Most of the existing methods use a backbone to extract initial features with indepe…