147 citations · 391 across the 75 of their papers we have counts for
6 papers · 1 filter
Fast Class-wise Updating for Online Hashing
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun +4
Online image hashing has received increasing research attention recently, which processes large-scale data in a streaming fashion to update the hash functions on-the-fly. To this e…
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…
Rotated Binary Neural Network
Mingbao Lin, Rongrong Ji, Zihan Xu +5
Binary Neural Network (BNN) shows its predominance in reducing the complexity of deep neural networks. However, it suffers severe performance degradation. One of the major impedime…
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin, Rongrong Ji, Yan Wang +4
Neural network pruning offers a promising prospect to facilitate deploying deep neural networks on resource-limited devices. However, existing methods are still challenged by the t…
Channel Pruning via Automatic Structure Search
Mingbao Lin, Rongrong Ji, Yuxin Zhang +3
Channel pruning is among the predominant approaches to compress deep neural networks. To this end, most existing pruning methods focus on selecting channels (filters) by importance…
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…