In this study, a new lane identification model that combines channel and spatial self-attention was developed. Conv1d and Conv2d were introduced to extract the global information. The model is lightweight and efficient avoiding difficult model calculations and massive matrices, In particular obstacles...
Furthermore, a graph neural network, Sheet-metalNet, is proposed for the efficient learning and interpretation of maFEGs. To tackle the second challenge, a three-component incremental learning strategy is proposed: an initial phase of pre-training and fine-tuning, a prototype sampling-based replay...
双流架构是指文本和视觉特征不是串联在一起而是独立地发送到两个不同的Transformer块中。 单流架构一般来说更加parameter-efficient。双流架构一般采用上图虚线所表示的cross attention进行特征交互。 Encoder-onlyvsEncoder-decoder 许多VLP模型采用encoder-only的体系结构,其中跨模态表示被直接馈送到输出层以生成最终输出。
MiniCPM-V 2.6 can be easily used in various ways: (1) llama.cpp and ollama support for efficient CPU inference on local devices, (2) int4 and GGUF format quantized models in 16 sizes, (3) vLLM support for high-throughput and memory-efficient inference, (4) fine-tuning on new domain...
AANet: adaptive aggregation network for efficient stereo matching IEEE Conference on Computer Vision and Pattern Recognition (2020) A. Der Kiureghian et al. Aleatory or epistemic? Does it matter? Struct. Saf. (2009) X. Hu et al. A quantitative evaluation of confidence measures for stereo visio...
Helmi S, Banaei-Kashani F (2017) Efficient processing of spatiotemporal pattern queries on historical frequent co-movement pattern datasets. In: International workshop on mobility analytics for spatio-temporal and social data, pp. 122–137. Springer Hens C, Harush U, Haber S, Cohen R, Barzel...
solve this problem, Rusu et al. [19] proposed the FPFH descriptor, which calculates the simplified point feature histograms (SPFH) of the k-neighboring points of the keypoint and encodes all weighted SPFH into the FPFH. Moreover, it is a time efficient and distinctive approach [16,20,22]...
Efficient Transformers: A Survey. arXiv 2020 paper bib Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler Recent Advances in Convolutional Neural Networks. Computer ence 2018 paper bib Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, ...
Chen, Y. H., Krishna, T., Emer, J. S. & Sze, V. Eyeriss: an energy-efficient reconfigurable accelerator for deep convolutional neural networks.IEEE J. Solid-State Circuits52, 127–138 (2017). ArticleADSGoogle Scholar Misra, J. & Saha, I. Artificial neural networks in hardware a surve...
Spatial index Data structure (most commonly a binary tree) that enables fast and efficient storage, manipulation, and querying of large amounts of spatial data (points in space). Commonly used by particle systems. Common types: Quadtree - each node has exactly four children Octree - each node...