10 citations · 21 across the 9 of their papers we have counts for
7 papers · 1 filter
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
Yifan Zhao, Zhenyu Liang, Zhichao Lu +1
As one of the emerging challenges in Automated Machine Learning, the Hardware-aware Neural Architecture Search (HW-NAS) tasks can be treated as black-box multi-objective optimizati…
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Zhichao Lu, Chuntao Ding, Shangguang Wang +3
Deploying high-performance convolutional neural network (CNN) models on low-earth orbit (LEO) satellites for rapid remote sensing image processing has attracted significant interes…
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Chuntao Ding, Zhichao Lu, Shangguang Wang +2
Multi-task learning (MTL) seeks to learn a single model to accomplish multiple tasks by leveraging shared information among the tasks. Existing MTL models, however, have been known…
Accelerating Vision-Language Pretraining with Free Language Modeling
Teng Wang, Yixiao Ge, Feng Zheng +4
The state of the arts in vision-language pretraining (VLP) achieves exemplary performance but suffers from high training costs resulting from slow convergence and long training tim…
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Teng Wang, Jinrui Zhang, Feng Zheng +3
Joint video-language learning has received increasing attention in recent years. However, existing works mainly focus on single or multiple trimmed video clips (events), which make…
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
Zhichao Lu, Ran Cheng, Shihua Huang +3
The architectural advancements in deep neural networks have led to remarkable leap-forwards across a broad array of computer vision tasks. Instead of relying on human expertise, ne…