Zobrazeno 1 - 10
of 118 849
pro vyhledávání: '"RECEPTIVE-FIELDS"'
Autor:
Lindeberg, Tony
When observing the surface patterns of objects delimited by smooth surfaces, the projections of the surface patterns to the image domain will be subject to substantial variabilities, as induced by variabilities in the geometric viewing conditions, an
Externí odkaz:
http://arxiv.org/abs/2411.05673
Since its use in the Lottery Ticket Hypothesis, iterative magnitude pruning (IMP) has become a popular method for extracting sparse subnetworks that can be trained to high performance. Despite this, the underlying nature of IMP's general success rema
Externí odkaz:
http://arxiv.org/abs/2412.06545
Autor:
Chen, Junzhou, Huang, Heqiang, Zhang, Ronghui, Lyu, Nengchao, Guo, Yanyong, Dai, Hong-Ning, Yan, Hong
Ensuring safety in both autonomous driving and advanced driver-assistance systems (ADAS) depends critically on the efficient deployment of traffic sign recognition technology. While current methods show effectiveness, they often compromise between sp
Externí odkaz:
http://arxiv.org/abs/2410.17144
Long-term time series forecasting (LTSF) has been widely applied in finance, traffic prediction, and other domains. Recently, patch-based transformers have emerged as a promising approach, segmenting data into sub-level patches that serve as input to
Externí odkaz:
http://arxiv.org/abs/2408.02279
Expanding the receptive field in a deep learning model for large-scale 3D point cloud segmentation is an effective technique for capturing rich contextual information, which consequently enhances the network's ability to learn meaningful features. Ho
Externí odkaz:
http://arxiv.org/abs/2409.01662
Autor:
Sotnikov, Oleg M., Iakovlev, Ilia A., Kiktenko, Evgeniy O., Katsnelson, Mikhail I., Fedorov, Aleksey K., Mazurenko, Vladimir V.
In quantum physics, even simple data with a well-defined structure at the wave function level can be characterized by extremely complex correlations between its constituent elements. The inherent non-locality of the quantum correlations generally pre
Externí odkaz:
http://arxiv.org/abs/2408.13033
In recent years, there have been attempts to increase the kernel size of Convolutional Neural Nets (CNNs) to mimic the global receptive field of Vision Transformers' (ViTs) self-attention blocks. That approach, however, quickly hit an upper bound and
Externí odkaz:
http://arxiv.org/abs/2407.05848
Autor:
Lindeberg, Tony
This paper presents results of combining (i) theoretical analysis regarding connections between the orientation selectivity and the elongation of receptive fields for the affine Gaussian derivative model with (ii) biological measurements of orientati
Externí odkaz:
http://arxiv.org/abs/2404.04858
Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brain as a coevolved system, simultaneously optimizing the hardware and th
Externí odkaz:
http://arxiv.org/abs/2405.00318
Achieving a balance between lightweight design and high performance remains a challenging task for speech enhancement. In this paper, we introduce Multi-path Enhanced Taylor (MET) Transformer based U-net for Speech Enhancement (MUSE), a lightweight s
Externí odkaz:
http://arxiv.org/abs/2406.04589