22 citations · 37 across the 6 of their papers we have counts for
6 papers
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
Yifeng Shi, Feng Lv, Xinliang Wang +5
With the continuous improvement of computing power and deep learning algorithms in recent years, the foundation model has grown in popularity. Because of its powerful capabilities…
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li, Jie Wu, Xuefeng Xiao +3
Recently, a series of algorithms have been explored for GAN compression, which aims to reduce tremendous computational overhead and memory usages when deploying GANs on resource-co…
Distilling a Powerful Student Model via Online Knowledge Distillation
Shaojie Li, Mingbao Lin, Yan Wang +4
Existing online knowledge distillation approaches either adopt the student with the best performance or construct an ensemble model for better holistic performance. However, the fo…
Network Pruning using Adaptive Exemplar Filters
Mingbao Lin, Rongrong Ji, Shaojie Li +4
Popular network pruning algorithms reduce redundant information by optimizing hand-crafted models, and may cause suboptimal performance and long time in selecting filters. We innov…
Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation
Shaojie Li, Mingbao Lin, Yan Wang +3
Generative Adversarial Networks (GANs) have been widely-used in image translation, but their high computation and storage costs impede the deployment on mobile devices. Prevalent m…
Filter Sketch for Network Pruning
Mingbao Lin, Liujuan Cao, Shaojie Li +5
We propose a novel network pruning approach by information preserving of pre-trained network weights (filters). Network pruning with the information preserving is formulated as a m…