Zobrazeno 1 - 10
of 563
pro vyhledávání: '"Lu Zhichao"'
Autor:
Yang, Yunhao, Hu, Yuxin, Ye, Mao, Zhang, Zaiwei, Lu, Zhichao, Xu, Yi, Topcu, Ufuk, Snyder, Ben
Multimodal foundation models offer promising advancements for enhancing driving perception systems, but their high computational and financial costs pose challenges. We develop a method that leverages foundation models to refine predictions from exis
Externí odkaz:
http://arxiv.org/abs/2410.01144
Heuristics are commonly used to tackle diverse search and optimization problems. Design heuristics usually require tedious manual crafting with domain knowledge. Recent works have incorporated large language models (LLMs) into automatic heuristic sea
Externí odkaz:
http://arxiv.org/abs/2409.16867
Detecting anomalies within point clouds is crucial for various industrial applications, but traditional unsupervised methods face challenges due to data acquisition costs, early-stage production constraints, and limited generalization across product
Externí odkaz:
http://arxiv.org/abs/2409.13162
Autor:
Zhang, Zaiwei, Meyer, Gregory P., Lu, Zhichao, Shrivastava, Ashish, Ravichandran, Avinash, Wolff, Eric M.
For visual recognition, knowledge distillation typically involves transferring knowledge from a large, well-trained teacher model to a smaller student model. In this paper, we introduce an effective method to distill knowledge from an off-the-shelf v
Externí odkaz:
http://arxiv.org/abs/2408.16930
Autor:
Shen, Shuaijie, Wang, Chao, Huang, Renzhuo, Zhong, Yan, Guo, Qinghai, Lu, Zhichao, Zhang, Jianguo, Leng, Luziwei
Known as low energy consumption networks, spiking neural networks (SNNs) have gained a lot of attention within the past decades. While SNNs are increasing competitive with artificial neural networks (ANNs) for vision tasks, they are rarely used for l
Externí odkaz:
http://arxiv.org/abs/2408.14909
Transferable neural architecture search (TNAS) has been introduced to design efficient neural architectures for multiple tasks, to enhance the practical applicability of NAS in real-world scenarios. In TNAS, architectural knowledge accumulated in pre
Externí odkaz:
http://arxiv.org/abs/2408.11330
Automated heuristic design (AHD) has gained considerable attention for its potential to automate the development of effective heuristics. The recent advent of large language models (LLMs) has paved a new avenue for AHD, with initial efforts focusing
Externí odkaz:
http://arxiv.org/abs/2407.10873
In the realm of unsupervised image outlier detection, assigning outlier scores holds greater significance than its subsequent task: thresholding for predicting labels. This is because determining the optimal threshold on non-separable outlier score f
Externí odkaz:
http://arxiv.org/abs/2407.05382
Autor:
Shen, Shuaijie, Zhang, Rui, Wang, Chao, Huang, Renzhuo, Tuerhong, Aiersi, Guo, Qinghai, Lu, Zhichao, Zhang, Jianguo, Leng, Luziwei
Publikováno v:
J Membr Comput (2024)
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural networks(ANNs). However, the unique information propagation mechanisms and the complexity of SNN neur
Externí odkaz:
http://arxiv.org/abs/2406.12552
Anomaly synthesis is one of the effective methods to augment abnormal samples for training. However, current anomaly synthesis methods predominantly rely on texture information as input, which limits the fidelity of synthesized abnormal samples. Beca
Externí odkaz:
http://arxiv.org/abs/2404.19444