most citedDPT: Deformable Patch-based Transformer for Visual Recognition

116 citations · 220 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021116 cited

DPT: Deformable Patch-based Transformer for Visual Recognition

Zhiyang Chen, Yousong Zhu, Chaoyang Zhao +4

Transformer has achieved great success in computer vision, while how to split patches in an image remains a problem. Existing methods usually use a fixed-size patch embedding which…

cs.CL202194 cited

PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

Wei Zeng, Xiaozhe Ren, Teng Su +35

Large-scale Pretrained Language Models (PLMs) have become the new paradigm for Natural Language Processing (NLP). PLMs with hundreds of billions parameters such as GPT-3 have demon…

cs.CV20215 cited

Contrastive Neural Architecture Search with Neural Architecture Comparators

Yaofo Chen, Yong Guo, Qi Chen +4

One of the key steps in Neural Architecture Search (NAS) is to estimate the performance of candidate architectures. Existing methods either directly use the validation performance…

cs.CV20214 cited

Adaptive Class Suppression Loss for Long-Tail Object Detection

Tong Wang, Yousong Zhu, Chaoyang Zhao +3

To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat…

cs.LG20211 cited

The distance between the weights of the neural network is meaningful

Liqun Yang, Yijun Yang, Yao Wang +2

In the application of neural networks, we need to select a suitable model based on the problem complexity and the dataset scale. To analyze the network's capacity, quantifying the…