This paper introduces AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their textual counterparts, i.e., Large Language Models (LLMs), and exhibit similar s...
This paper introduces AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their textual counterparts, i.e., Large Language Models (LLMs), and exhibit similar scaling properties. Specifically, we highlight two key findings: (1) the performance of the visual features scale with both the model capacity and the quantity of data, (2) the value of the objective function correlates with the performance of the model on downstream tasks. We illustrate the practical implication of these findings by pre-training a 7 billion parameter AIM on 2 billion images, that achieves 84.0% on ImageNet-1k with a frozen trunk. Interestingly, even at this scale, we observe no sign of saturation in performance, suggesting that AIM potentially represents a new frontier for training large-scale vision models. The pretraining of AIM is similar to the pre-training of LLMs, and does not require any image-specific strategy to stabilize the training at scale.
Whereas in the academic publication, citation has been used for a long time to borrow ideas from another document and show the credit to the authors of that document, plagiarism, which does not indicate the appropriat...
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Constructive and technological peculiarities of fabric strip conductors and appropriateness of their application for quick action radio - electronic equipment is analysed in this paper.
ISBN:
(纸本)9798331500092
Constructive and technological peculiarities of fabric strip conductors and appropriateness of their application for quick action radio - electronic equipment is analysed in this paper.
The proceedings contain 34 papers. The special focus in this conference is on Pattern Recognition, Artificial Intelligent Techniques, Image Processing, Robotics and Computer Vision. The topics include: Recommendation ...
ISBN:
(纸本)9783319192635
The proceedings contain 34 papers. The special focus in this conference is on Pattern Recognition, Artificial Intelligent Techniques, Image Processing, Robotics and Computer Vision. The topics include: Recommendation of process discovery algorithms through event log classification;a new method based on graph transformation for FAS mining in multi-graph collections;classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing;a different approach for pruning micro-clusters in data stream clustering;computing constructs by using typical testor algorithms;multitask reinforcement learning in nondeterministic environments;prototype selection for graph embedding using instance selection;correlation of resampling methods for contrast pattern based classifiers;boosting the permutation based index for proximity searching;similarity analysis of archaeological potsherds using 3D surfaces;automatic detection of clouds from aerial photographs of snowy volcanoes;a comparative study of robust segmentation algorithms for iris verification system of high reliability;vision-based humanoid robot navigation in a featureless environment;evaluation of local descriptors for vision-based localization of humanoid robots;sampled weighted min-hashing for large-scale topic mining;patterns used to identify relations in corpus using formal concept analysis;improving information retrieval through a global term weighting scheme;sentiment groups as features of a classification model using a Spanish sentiment lexicon;modified binary inertial particle swarm optimization for gene selection in DNA microarray data;encoding polysomnographic signals into spike firing rate for sleep staging and patrolling routes optimization using ant colonies.
This paper presents an investigation of the differences in modeled thermal performance of solar collectors when meteorological reference years are used as input and when mulit-year weather data are used as input. The ...
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This paper presents an investigation of the differences in modeled thermal performance of solar collectors when meteorological reference years are used as input and when mulit-year weather data are used as input. The investigation has shown that using the Danish reference year based on the period 1975-1990 will result in deviations of up to 39 % compared with thermal performance calculated with multi-year measured weather data. For the newer local reference years based on the period 2001-2010 the maximum deviation becomes 25 %. The investigation further showed an increase in utilization with an increase in global radiation. This means that besides increasing the thermal performance with increasing the solar radiation, the utilization of the solar radiation also becomes better. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
Optimizing gain through systematic methods of varying current injection schemes analytically is significant to maximize experimentally device yield and evaluation. Various techniques are used to calculate the amplifie...
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ISBN:
(纸本)9781424498826
Optimizing gain through systematic methods of varying current injection schemes analytically is significant to maximize experimentally device yield and evaluation. Various techniques are used to calculate the amplified spontaneous emission (ASE) gain for light emitting devices consisting of single-section and multiple-sections of even length. Recently double quantum well (DQW) superluminescent diodes (SLD) have shown a broad multi-state emission due to mutlielectrodes of non-equal lengths and at high non-equal current densities. In this study, we adopt an improved method utilizing an ASE intensity ratio to calibrate a gain curve based on the sum of the measured ASE spectra to efficiently estimate the gain. Although the laser gain for GaAs/AlGaAs material is well studied, the ASE gain of SLD devices has not been systematically studied particular to further explain the multiple-state emission observed in fabricated devices. In addition a unique gain estimate was achieved where the excited state gain clamps prior to the ground state due to approaching saturation levels. In our results, high current densities in long sectioned active regions achieved sufficient un-truncated gain that show evidence of excited state emission has been observed.
The hardware and software of a microcomputer-based system to control the speed of a DC motor, coupled with the carriage of a vertical transportation system or with the tub of an inclined transportation system by contr...
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ISBN:
(纸本)0879425539
The hardware and software of a microcomputer-based system to control the speed of a DC motor, coupled with the carriage of a vertical transportation system or with the tub of an inclined transportation system by controlling its armature voltage, are described.
An experimental and analytical comparison of the efficiency of high-speed helical gear trains is presented. Analyses of the gearing losses were conducted. Test data from a helical gear train at varying speeds and load...
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An experimental and analytical comparison of the efficiency of high-speed helical gear trains is presented. Analyses of the gearing losses were conducted. Test data from a helical gear train at varying speeds and loads (to 3730 kW (5,000 hp) and 15,000 rpm) was collected. A comparison of the results indicated that the operational conditions of the gearing system effects the loss contributions of the various mechanisms and therefore the overall efficiency of the gear system.
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