2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
Haoming Zhang, Ran Cheng
Neural Architecture Search (NAS) has emerged as a key tool in identifying optimal configurations of deep neural networks tailored to specific tasks. However, training and assessing…
cs.CV2024
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
Yatong Bai, Utsav Garg, Apaar Shanker +10
Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial data-collec…
cs.CV2022★ 2 cited
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…