Results 41 to 50 of about 342,749 (263)
Frontiers in Plant Science, 2023 An accurate and robust keypoint detection method is vital for autonomous harvesting systems. This paper proposed a dome-type planted pumpkin autonomous harvesting framework with keypoint (grasping and cutting points) detection method using instance ...
Jin Yan +3 more
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HTC+ for SAR Ship Instance Segmentation
Remote Sensing, 2022 Existing instance segmentation models mostly pay less attention to the targeted characteristics of ships in synthetic aperture radar (SAR) images, which hinders further accuracy improvements, leading to poor segmentation performance in more complex SAR ...
Tianwen Zhang, Xiaoling Zhang
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DIM: long-tailed object detection and instance segmentation via dynamic instance memory
Machine Learning: Science and Technology, 2023 Object detection and instance segmentation have been successful on benchmarks with relatively balanced category distribution (e.g. MSCOCO). However, state-of-the-art object detection and segmentation methods still struggle to generalize on long-tailed ...
Zhao-Min Chen +7 more
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Attention-Guided Instance Segmentation for Group-Raised Pigs
Animals, 2023 In the pig farming environment, complex factors such as pig adhesion, occlusion, and changes in body posture pose significant challenges for segmenting multiple target pigs.
Zhiwei Hu, Hua Yang, Hongwen Yan
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Instance Segmentation of LiDAR Point Clouds [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 We propose a robust baseline method for instance segmentation which are specially designed for large-scale outdoor LiDAR point clouds. Our method includes a novel dense feature encoding technique, allowing the localization and segmentation of small, far-away objects, a simple but effective solution for single-shot instance prediction and effective ...
Zhang, F +6 more
openaire +1 more source
3D Point Cloud Instance Segmentation Considering Global Shape Contour Constraints
Remote Sensing, 2023 Aiming to solve the problem that spatially distributed similar instances cannot be distinguished in 3D point cloud instance segmentation, a 3D point cloud instance segmentation network, considering the global shape contour, was proposed.
Jiabin Xv, Fei Deng
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S4Net: Single Stage Salient-Instance Segmentation
, 2019 We consider an interesting problem-salient instance segmentation in this paper. Other than producing bounding boxes, our network also outputs high-quality instance-level segments.
Cheng, Ming-Ming +5 more
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Remote Sensing, 2023 Instance segmentation in remote sensing (RS) imagery aims to predict the locations of instances and represent them with pixel-level masks. Thanks to the more accurate pixel-level information for each instance, instance segmentation has enormous potential
Man Chen +6 more
doaj +1 more source
Distance to Center of Mass Encoding for Instance Segmentation
, 2017 The instance segmentation can be considered an extension of the object detection problem where bounding boxes are replaced by object contours. Strictly speaking the problem requires to identify each pixel instance and class independently of the artifice ...
Watanabe, Thomio, Wolf, Denis
core +1 more source
On the Importance of Visual Context for Data Augmentation in Scene Understanding [PDF]
, 2019 Performing data augmentation for learning deep neural networks is known to be important for training visual recognition systems. By artificially increasing the number of training examples, it helps reducing overfitting and improves generalization.
Dvornik, Nikita +2 more
core +4 more sources