66 citations · 128 across the 11 of their papers we have counts for
23 papers
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Peng Mi, Li Shen, Tianhe Ren +4
Deep neural networks often suffer from poor generalization caused by complex and non-convex loss landscapes. One of the popular solutions is Sharpness-Aware Minimization (SAM), whi…
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
Gen Luo, Yiyi Zhou, Xiaoshuai Sun +5
Despite the exciting performance, Transformer is criticized for its excessive parameters and computation cost. However, compressing Transformer remains as an open problem due to it…
Dual-Level Collaborative Transformer for Image Captioning
Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun +5
Descriptive region features extracted by object detection networks have played an important role in the recent advancements of image captioning. However, they are still criticized…
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun +5
Transformer-based architectures have shown great success in image captioning, where object regions are encoded and then attended into the vectorial representations to guide the cap…
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…
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Gen Luo, Yiyi Zhou, Xiaoshuai Sun +4
Referring expression comprehension (REC) and segmentation (RES) are two highly-related tasks, which both aim at identifying the referent according to a natural language expression.…