Zobrazeno 1 - 10
of 426
pro vyhledávání: '"Weng Xi"'
The meta-material sensor has been regarded as a next-generation sensing technology for the battery-free Internet of Things (IoT) due to its battery-free characteristic and improved sensing performance. The meta-material sensors function as backscatte
Externí odkaz:
http://arxiv.org/abs/2406.07077
Autor:
Jia, Junlong, Hu, Ying, Weng, Xi, Shi, Yiming, Li, Miao, Zhang, Xingjian, Zhou, Baichuan, Liu, Ziyu, Luo, Jie, Huang, Lei, Wu, Ji
We present TinyLLaVA Factory, an open-source modular codebase for small-scale large multimodal models (LMMs) with a focus on simplicity of code implementations, extensibility of new features, and reproducibility of training results. Following the des
Externí odkaz:
http://arxiv.org/abs/2405.11788
We present the TinyLLaVA framework that provides a unified perspective in designing and analyzing the small-scale Large Multimodal Models (LMMs). We empirically study the effects of different vision encoders, connection modules, language models, trai
Externí odkaz:
http://arxiv.org/abs/2402.14289
Autor:
Weng, Xi, Ni, Yunhao, Song, Tengwei, Luo, Jie, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad Shahbaz, Huang, Lei
Whitening loss offers a theoretical guarantee against feature collapse in self-supervised learning (SSL) with joint embedding architectures. Typically, it involves a hard whitening approach, transforming the embedding and applying loss to the whitene
Externí odkaz:
http://arxiv.org/abs/2305.16789
A monopoly platform sells either a risky product (with unknown utility) or a safe product (with known utility) to agents who sequentially arrive and learn the utility of the risky product by the reporting of previous agents. It is costly for agents t
Externí odkaz:
http://arxiv.org/abs/2211.07362
A desirable objective in self-supervised learning (SSL) is to avoid feature collapse. Whitening loss guarantees collapse avoidance by minimizing the distance between embeddings of positive pairs under the conditioning that the embeddings from differe
Externí odkaz:
http://arxiv.org/abs/2210.03586
Real-time semantic segmentation, which aims to achieve high segmentation accuracy at real-time inference speed, has received substantial attention over the past few years. However, many state-of-the-art real-time semantic segmentation methods tend to
Externí odkaz:
http://arxiv.org/abs/2203.04037
Over the past few years, deep convolutional neural network-based methods have made great progress in semantic segmentation of street scenes. Some recent methods align feature maps to alleviate the semantic gap between them and achieve high segmentati
Externí odkaz:
http://arxiv.org/abs/2203.04031
Autor:
Eeckhout, Jan, Weng, Xi
Publikováno v:
In Journal of Economic Dynamics and Control August 2024
The enduring value of the Vickrey-Clarke-Groves (VCG) mechanism has been highlighted due to its adoption by Facebook ad auctions. Our research delves into its utility in the collaborative virtual goods production (CVGP) game, which finds application
Externí odkaz:
http://arxiv.org/abs/2008.06680