Results 21 to 30 of about 16,062,156 (297)
Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring [PDF]
, 2023 Achieving visually consistent colors across multiple images is important when images are used in photo albums, websites, and brochures. Unfortunately, only a handful of methods address multi-image color consistency compared to one-to-one color transfer ...
Zhang, Yanning +4 more
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Multi-level marketing. Features and controversy [PDF]
Annals of Marketing Management & Economics, 2018 Multi-Level Marketing is a kind of novelty in the business reality. The greatest popularity gained in Western countries, where it functions as a kind of hybrid method in distribution of the goods with the design of the sales network. It is one of the most secure business models.
Justyna Kaźmierczak, Artur Łabuz
openaire +1 more source
Intelligent Grading of Tobacco Leaves Using an Improved Bilinear Convolutional Neural Network
IEEE Access, 2023 At present, tobacco leaf grading relies mainly on manual classification, which is highly intensive with respect to labor, materials, and cost; in addition, the performance of manual grading is poor.
Mengyao Lu +8 more
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IEEE Access, 2022 This manuscript proposed an effective hybrid method based on multi-level convolutional neural network (ML-CNN) and iterative local search (ILS) to solve job shop scheduling problems (JSSP) with small scale training samples and less time.
Xiaorui Shao, Chang Soo Kim
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No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations
Remote Sensing, 2022 The Pan-Sharpening (PS) techniques provide a better visualization of a multi-band image using the high-resolution single-band image. To support their development and evaluation, in this paper, a novel, accurate, and automatic No-Reference (NR) PS Image ...
Igor Stępień, Mariusz Oszust
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Tracking with multi-level features
CoRR, 2016 We present a novel formulation of the multiple object tracking problem which integrates low and mid-level features. In particular, we formulate the tracking problem as a quadratic program coupling detections and dense point trajectories. Due to the computational complexity of the initial QP, we propose an approximation by two auxiliary problems, a ...
Roberto Henschel +3 more
openaire +3 more sources
Multi-level supervised hashing with deep features for efficient image retrieval [PDF]
, 2020 Image hashing based on deep convolutional neural networks (CNN), deep hashing, has acquired breakthrough in image retrieval. Although deep features from various CNN layers have various levels of information, most of the existing deep hashing methods ...
Wang, Hui +5 more
core +1 more source
Multi-scale features fusion module.
, 2022 Multi-scale features fusion module.
Junnian Wang (13970197) +4 more
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Multi-Level 3D CNN for Learning Multi-Scale Spatial Features [PDF]
, 2019 3D object recognition accuracy can be improved by learning the multi-scale spatial features from 3D spatial geometric representations of objects such as point clouds, 3D models, surfaces, and RGB-D data.
Adarsh Krishnamurthy +9 more
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Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features
Sensors, 2023 Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided ...
Meng Xu +3 more
doaj +1 more source