Dual attention-guided feature pyramid network for instance segmentation of group pigs

[1]  Jingyao Zhang,et al.  Automatic behavior recognition of group-housed goats using deep learning , 2020, Comput. Electron. Agric..

[2]  Weixing Zhu,et al.  Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method , 2020, Comput. Electron. Agric..

[3]  Jaume Bacardit,et al.  Automatic recognition of feeding and foraging behaviour in pigs using deep learning , 2020, Biosystems Engineering.

[4]  Weixing Zhu,et al.  Classification of drinking and drinker-playing in pigs by a video-based deep learning method , 2020 .

[5]  Weixing Zhu,et al.  A computer vision approach for recognition of the engagement of pigs with different enrichment objects , 2020, Comput. Electron. Agric..

[6]  Felix Adrion,et al.  Automatically detecting pig position and posture by 2D camera imaging and deep learning , 2020, Comput. Electron. Agric..

[7]  Peng Feng,et al.  An adaptive pig face recognition approach using Convolutional Neural Networks , 2020, Comput. Electron. Agric..

[8]  Guipeng Chen,et al.  Automated cattle counting using Mask R-CNN in quadcopter vision system , 2020, Comput. Electron. Agric..

[9]  Jian Huang,et al.  Instance Segmentation Based on Mask Scoring R-CNN for Group-housed Pigs , 2020, 2020 International Conference on Computer Engineering and Application (ICCEA).

[10]  Weixing Zhu,et al.  Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory , 2020, Comput. Electron. Agric..

[11]  Wei Li,et al.  HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Xiaofan Yang,et al.  Automated video analysis of sow nursing behavior based on fully convolutional network and oriented optical flow , 2019, Comput. Electron. Agric..

[13]  Jair Minoro Abe,et al.  Classification of piglet (Sus Scrofa) stress conditions using vocalization pattern and applying paraconsistent logic Eτ , 2019, Comput. Electron. Agric..

[14]  Weixing Zhu,et al.  Detection of aggressive behaviours in pigs using a RealSence depth sensor , 2019, Comput. Electron. Agric..

[15]  Mingyang Wu,et al.  Depthwise separable convolution architectures for plant disease classification , 2019, Comput. Electron. Agric..

[16]  Salah Sukkarieh,et al.  Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming , 2019, Comput. Electron. Agric..

[17]  Jungong Han,et al.  ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[18]  Benhai Xiong,et al.  Real-time sow behavior detection based on deep learning , 2019, Comput. Electron. Agric..

[19]  Yang Yu,et al.  Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN , 2019, Comput. Electron. Agric..

[20]  Hong Chen,et al.  Automated pig counting using deep learning , 2019, Comput. Electron. Agric..

[21]  Thiago T. Santos,et al.  Grape detection, segmentation and tracking using deep neural networks and three-dimensional association , 2019, Comput. Electron. Agric..

[22]  Chris McCarthy,et al.  Deep learning - Method overview and review of use for fruit detection and yield estimation , 2019, Comput. Electron. Agric..

[23]  Lene Juul Pedersen,et al.  Spatial modeling of pigs' drinking patterns as an alarm reducing method I. Developing a multivariate dynamic linear model , 2019, Comput. Electron. Agric..

[24]  Yongchao Gong,et al.  Mask Scoring R-CNN , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[25]  Lei Zhang,et al.  Automatic Individual Pig Detection and Tracking in Pig Farms , 2019, Sensors.

[26]  Silvio Savarese,et al.  Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Eric Psota,et al.  Multi-Pig Part Detection and Association with a Fully-Convolutional Network , 2019, Sensors.

[28]  Kai Chen,et al.  Hybrid Task Cascade for Instance Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Ke Wang,et al.  Automated calculation of heart girth measurement in pigs using body surface point clouds , 2019, Comput. Electron. Agric..

[30]  Aqing Yang,et al.  High-accuracy image segmentation for lactating sows using a fully convolutional network , 2018, Biosystems Engineering.

[31]  Deqin Xiao,et al.  Feeding behavior recognition for group-housed pigs with the Faster R-CNN , 2018, Comput. Electron. Agric..

[32]  Yunchao Wei,et al.  CCNet: Criss-Cross Attention for Semantic Segmentation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Aqing Yang,et al.  Automatic recognition of sow nursing behaviour using deep learning-based segmentation and spatial and temporal features , 2018, Biosystems Engineering.

[34]  Sijung Kim,et al.  Estimating pig weights from images without constraint on posture and illumination , 2018, Comput. Electron. Agric..

[35]  Jayme G. A. Barbedo,et al.  Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification , 2018, Comput. Electron. Agric..

[36]  Liu Yan,et al.  Multi target pigs tracking loss correction algorithm based on Faster R-CNN , 2018 .

[37]  Jun Fu,et al.  Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[38]  Reinhard Koch,et al.  Model-based detection of pigs in images under sub-optimal conditions , 2018, Comput. Electron. Agric..

[39]  Gang Yu,et al.  BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation , 2018, ECCV.

[40]  In-So Kweon,et al.  CBAM: Convolutional Block Attention Module , 2018, ECCV.

[41]  In-So Kweon,et al.  BAM: Bottleneck Attention Module , 2018, BMVC.

[42]  Melvyn L. Smith,et al.  Towards on-farm pig face recognition using convolutional neural networks , 2018, Comput. Ind..

[43]  Andrea Pezzuolo,et al.  On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera , 2018, Comput. Electron. Agric..

[44]  Ke Wang,et al.  A portable and automatic Xtion-based measurement system for pig body size , 2018, Comput. Electron. Agric..

[45]  Andreas Kamilaris,et al.  Deep learning in agriculture: A survey , 2018, Comput. Electron. Agric..

[46]  Xiaogang Wang,et al.  Context Encoding for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[47]  Nassir Navab,et al.  Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks , 2018, MICCAI.

[48]  Weixing Zhu,et al.  Identification of group-housed pigs based on Gabor and Local Binary Pattern features , 2018 .

[49]  Nuno Vasconcelos,et al.  Cascade R-CNN: Delving Into High Quality Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[50]  Yongwha Chung,et al.  Depth-Based Detection of Standing-Pigs in Moving Noise Environments , 2017, Sensors.

[51]  Xiaogang Wang,et al.  Residual Attention Network for Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[52]  Ross B. Girshick,et al.  Mask R-CNN , 2017, 1703.06870.

[53]  John Joseph Valletta,et al.  Applications of machine learning in animal behaviour studies , 2017, Animal Behaviour.

[54]  Serge J. Belongie,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[55]  Iasonas Kokkinos,et al.  DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[56]  Sandra A. Edwards,et al.  Automatic detection of mounting behaviours among pigs using image analysis , 2016, Comput. Electron. Agric..

[57]  Yongwha Chung,et al.  Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor , 2016, Sensors.

[58]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[59]  Weixing Zhu,et al.  Multi-object extraction from topview group-housed pig images based on adaptive partitioning and multilevel thresholding segmentation , 2015 .

[60]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[61]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[62]  Jean-Marie Aerts,et al.  Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall? , 2008 .

[63]  Yee Whye Teh,et al.  Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation , 2006, Cogn. Sci..

[64]  Jair Minoro Abe,et al.  Automatic prediction of stress in piglets (Sus Scrofa) using infrared skin temperature , 2020, Comput. Electron. Agric..

[65]  Jianlong Zhang,et al.  Mobile measuring system based on LabVIEW for pig body components estimation in a large-scale farm , 2019, Comput. Electron. Agric..

[66]  Kanda Runapongsa Saikaew,et al.  Semi-Automatic Pig Weight Estimation Using Digital Image Analysis , 2019, Applied Engineering in Agriculture.

[67]  Sandra A. Edwards,et al.  Automatic scoring of lateral and sternal lying posture in grouped pigs using image processing and Support Vector Machine , 2019, Comput. Electron. Agric..