Results 291 to 300 of about 1,645,972 (339)
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Perception Encoder: The best visual embeddings are not at the output of the network
arXiv.orgWe introduce Perception Encoder (PE), a state-of-the-art vision encoder for image and video understanding trained via simple vision-language learning.
Daniel Bolya +17 more
semanticscholar +1 more source
IEEE Transactions on Electronic Computers, 1964
A device is described that converts voltages to digital form by means of a strategy basically faster than that used in the conventional trial encoder. A voltage corresponding to the contents of a 2n-bit register is obtained from the output of the digital-voltage decoder.
J. R. Cox Jr., D. H. Glaeser
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A device is described that converts voltages to digital form by means of a strategy basically faster than that used in the conventional trial encoder. A voltage corresponding to the contents of a 2n-bit register is obtained from the output of the digital-voltage decoder.
J. R. Cox Jr., D. H. Glaeser
openaire +1 more source
arXiv.org
Encoder-only transformer models such as BERT offer a great performance-size tradeoff for retrieval and classification tasks with respect to larger decoder-only models.
Benjamin Warner +13 more
semanticscholar +1 more source
Encoder-only transformer models such as BERT offer a great performance-size tradeoff for retrieval and classification tasks with respect to larger decoder-only models.
Benjamin Warner +13 more
semanticscholar +1 more source
Trends in Genetics, 2016
The ENCODE project represents a major leap from merely describing and comparing genomic sequences to surveying them for direct indicators of function. The astounding quantity of data produced by the ENCODE consortium can serve as a map to locate specific landmarks, guide hypothesis generation, and lead us to principles and mechanisms underlying genome ...
Adam G, Diehl, Alan P, Boyle
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The ENCODE project represents a major leap from merely describing and comparing genomic sequences to surveying them for direct indicators of function. The astounding quantity of data produced by the ENCODE consortium can serve as a map to locate specific landmarks, guide hypothesis generation, and lead us to principles and mechanisms underlying genome ...
Adam G, Diehl, Alan P, Boyle
openaire +2 more sources
SAM2-UNet: segment anything 2 makes strong encoder for natural and medical image segmentation
Visual IntelligenceImage segmentation plays an important role in vision understanding. Recently, the emerging vision foundation models continuously achieved superior performance on various tasks.
Xinyu Xiong +8 more
semanticscholar +1 more source
Multivariate time series forecasting via attention-based encoder-decoder framework
Neurocomputing, 2020Time series forecasting is an important technique to study the behavior of temporal data and forecast future values, which is widely applied in many fields, e.g. air quality forecasting, power load forecasting, medical monitoring, and intrusion detection.
Shengdong Du +3 more
semanticscholar +1 more source
Unveiling Encoder-Free Vision-Language Models
Neural Information Processing SystemsExisting vision-language models (VLMs) mostly rely on vision encoders to extract visual features followed by large language models (LLMs) for visual-language tasks.
Haiwen Diao +5 more
semanticscholar +1 more source
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
Road extraction is a fundamental task in the field of remote sensing which has been a hot research topic in the past decade. In this paper, we propose a semantic segmentation neural network, named D-LinkNet, which adopts encoderdecoder structure, dilated
Lichen Zhou, Chuang Zhang, Ming Wu
semanticscholar +1 more source
Road extraction is a fundamental task in the field of remote sensing which has been a hot research topic in the past decade. In this paper, we propose a semantic segmentation neural network, named D-LinkNet, which adopts encoderdecoder structure, dilated
Lichen Zhou, Chuang Zhang, Ming Wu
semanticscholar +1 more source
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019Fault diagnosis plays an important role in modern industry. With the development of smart manufacturing, the data-driven fault diagnosis becomes hot. However, traditional methods have two shortcomings: 1) their performances depend on the good design of ...
Long Wen, Liang Gao, Xinyu Li
semanticscholar +1 more source
Compressed Delta Encoding for LZSS Encoded Files
2007 Data Compression Conference (DCC'07), 2007We explore the full compressed delta encoding problem in compressed texts, defined as the problem of constructing a delta file directly from the two given compressed files, without decompressing. We concentrate on the case where the given files are compressed using LZSS and propose solutions for the special cases involving substitutions ...
Shmuel T. Klein, Dana Shapira
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