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cs.CV2026
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao, Wenjia Hua, Aiersi Tuerhong +3
Recently, spiking neural networks (SNNs), deployed on neuromorphic chips, provide highly efficient solutions on edge devices in different scenarios. However, their ability to adapt…
cs.CV2026
From Pen to Pixel: Translating Hand-Drawn Plots into Graphical APIs via a Novel Benchmark and Efficient Adapter
Zhenghao Xu, Mengning Yang
As plots play a critical role in modern data visualization and analysis, Plot2API is launched to help non-experts and beginners create their desired plots by directly recommending…
cs.CV2026★ 105 cited
RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
Xin Zhang, Chen Liu, Degang Yang +4
In the realm of deep learning, spatial attention mechanisms have emerged as a vital method for enhancing the performance of convolutional neural networks. However, these mechanisms…