☆ 4.6 Article

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

PLANT METHODS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Domain Generalization: A Survey

Kaiyang Zhou et al.

Summary: Domain generalization aims to achieve generalization to out-of-distribution data by using only source data for model learning. This paper provides a comprehensive literature review on the developments in domain generalization over the past decade, including the background, existing methods and theories, and insights and discussions on future research directions.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A survey of deep learning approaches to image restoration

Jingwen Su et al.

Summary: This paper presents an extensive review of deep learning methods for image restoration tasks. Deep learning techniques, particularly convolutional neural networks, have been widely used in image processing, but image restoration remains a challenging topic. This paper compares deep learning techniques for image denoising, deblurring, dehazing, and super-resolution, and summarizes the principles and methods involved.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Engineering, Civil

Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Khan Muhammad et al.

Summary: Scene understanding plays a crucial role in autonomous driving for extracting contextual information and making decisions. Current research focuses on tasks such as person/vehicle detection and segmentation using visual sensory data, but significant improvements are still needed for fully autonomous driving.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

添加到收藏夹

Article Agriculture, Multidisciplinary

Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields

Nikita Genze et al.

Summary: Weeds are unwanted plants in agricultural fields that can affect crop yield and quality. This paper investigates the use of Deep Learning methods for early weed detection in sorghum fields, and develops a UAV imagery dataset to address the challenges in capturing degraded images due to motion blur.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Simple Baselines for Image Restoration

Liangyu Chen et al.

Summary: This paper proposes a simple and computationally efficient baseline method that outperforms state-of-the-art methods in image restoration. By eliminating the need for nonlinear activation functions, the proposed method achieves better results with lower computational costs. The method achieves state-of-the-art results on challenging benchmarks.

COMPUTER VISION, ECCV 2022, PT VII (2022)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

XYDeblur: Divide and Conquer for Single Image Deblurring

Seo-Won Ji et al.

Summary: In this paper, a network architecture with one encoder and two decoders is proposed to tackle the problem of single image deblurring. By observing that multiple decoders successfully decompose encoded feature information into directional components and improving network efficiency and deblurring performance through rotating and sharing blur kernels used in decoders, the proposed network outperforms U-Net while preserving network parameters.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Uformer: A General U-Shaped Transformer for Image Restoration

Zhendong Wang et al.

Summary: This paper introduces Uformer, an image restoration architecture based on Transformer, with a hierarchical encoder-decoder network and novel designs including locally-enhanced window Transformer block and learnable multi-scale restoration modulator. Uformer demonstrates high capability for image restoration tasks and achieves superior performance in various experiments.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Restormer: Efficient Transformer for High-Resolution Image Restoration

Syed Waqas Zamir et al.

Summary: Convolutional neural networks (CNNs) perform well at learning image priors, while Transformers capture long-range pixel interactions. However, the computational complexity of Transformers makes it challenging to apply them to high-resolution image restoration tasks. This work proposes an efficient Transformer model, Restormer, which achieves state-of-the-art results on various image restoration tasks.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)

添加到收藏夹

Review Chemistry, Analytical

Review of Weed Detection Methods Based on Computer Vision

Zhangnan Wu et al.

Summary: This review elaborates on the solutions to weed detection problems using traditional image-processing methods and deep learning-based methods, providing an overview of various methods, advantages and disadvantages, as well as introducing related datasets and machinery. It also analyzes the problems and difficulties of existing weed detection methods and prospects the future research trends.

SENSORS (2021)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Improved Handling of Motion Blur in Online Object Detection

Mohamed Sayed et al.

Summary: The paper focuses on detecting specific categories of objects in online vision systems in the real world, with a special emphasis on details of egomotion induced blur. Through exploring different solutions, the study found that custom label generation aimed at resolving spatial ambiguity significantly improves object detection, and conditioning the model on bespoke categories of motion blur boosts performance notably, in contrast to classification.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration

Ruikang Xu et al.

Summary: The article introduces an Enhanced Deep Pyramid Network (EDPN) for image deblurring, which utilizes self- and cross-scale similarities in the degraded image. It proposes pyramid progressive transfer and pyramid self-attention modules, achieving superior performance compared to existing solutions.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021 (2021)

添加到收藏夹

Review Multidisciplinary Sciences

Array programming with NumPy

Charles R. Harris et al.

NATURE (2020)

添加到收藏夹

Article Biochemical Research Methods

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

Nikita Genze et al.

PLANT METHODS (2020)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology

Anthony D. Yao et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)

添加到收藏夹

Article Computer Science, Information Systems

Scale-Iterative Upscaling Network for Image Deblurring

Minyuan Ye et al.

IEEE ACCESS (2020)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

Jeroen Bertels et al.

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT II (2019)

添加到收藏夹

Review Computer Science, Information Systems

Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications

Jeongeun Kim et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Environmental Sciences

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming

Inkyu Sa et al.

REMOTE SENSING (2018)

添加到收藏夹

Article Robotics

Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming

Philipp Lottes et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

添加到收藏夹

Article Robotics

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Inkyu Sa et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

添加到收藏夹

Article Robotics

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming

Philipp Lottes et al.

JOURNAL OF FIELD ROBOTICS (2017)

添加到收藏夹

Article Multidisciplinary Sciences

scikit-image: image processing in Python

Stefan van der Walt et al.

PEERJ (2014)

添加到收藏夹

Article Computer Science, Software Engineering

A No-Reference Metric for Evaluating the Quality of Motion Deblurring

Yiming Liu et al.

ACM TRANSACTIONS ON GRAPHICS (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)

添加到收藏夹

Review Agronomy

Herbicides - a two-edged sword

P Kudsk et al.

WEED RESEARCH (2003)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.