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Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use...
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YOLO-CORE: Contour Regression for Efficient Instance Segmentation
Instance segmentation has drawn mounting attention due to its significant utility. However, high computational costs have been widely acknowledged in...
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SimpleMask: parameter link and efficient instance segmentation
To resolve the problem that the segmentation result of the full convolutional neural network in the Mask R-CNN model is not fine enough, and that the...
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Open-set marine object instance segmentation with prototype learning
The ocean world is full of Unknown Marine Objects (UMOs), making it difficult to deal with unknown ocean targets using the traditional instance...
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A transformer-based UAV instance segmentation model TF-YOLOv7
In a dense target scenario in a real city, how to efficiently achieve the labeling of different targets and overcome the problem of mutual occlusion...
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Instance Segmentation in the Dark
Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in...
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Searching sharing relationship for instance segmentation decoder
Instance segmentation is a typical visual task that requires per-pixel mask prediction with a category label for each instance. For the decoder in...
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OV-VIS: Open-Vocabulary Video Instance Segmentation
Conventionally, the goal of Video Instance Segmentation (VIS) is to segment and categorize objects in videos from a closed set of training...
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AM YOLO: adaptive multi-scale YOLO for ship instance segmentation
Instance segmentation has seen widespread development and significant progress across various fields. However, ship instance segmentation in marine...
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Real-time and accurate model of instance segmentation of foods
Instance segmentation of foods is an important technology to ensure the food success rate of meal-assisting robotics. However, due to foods have...
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ChaInNet: Deep Chain Instance Segmentation Network for Panoptic Segmentation
We consider the competition between instance and semantic segmentation in panoptic segmentation to develop the deep chain instance segmentation...
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GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework
The real-time instance segmentation task based on deep learning aims to accurately identify and distinguish all instance objects from images or...
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Weakly-supervised instance co-segmentation via tensor-based salient co-peak search
Instance co-segmentation aims to segment the co-occurrent instances among two images. This task heavily relies on instance-related cues provided by...
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A Novel Boundary-Guided Global Feature Fusion Module for Instance Segmentation
The task of instance segmentation is widely acknowledged as being one of the most formidable challenges in the field of computer vision. Current...
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Multi-scale pooling learning for camouflaged instance segmentation
Camouflaged instance segmentation (CIS) focuses on handling instances that attempt to blend into the background. However, existing CIS methods...
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Jdlmask: joint defogging learning with boundary refinement for foggy scene instance segmentation
State-of-the-art instance segmentation approaches, such as Mask R-CNN, have exhibited remarkable performance under clear weather conditions. However,...
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A Survey on Object Instance Segmentation
In recent years, instance segmentation has become a key research area in computer vision. This technology has been applied in varied applications...
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TPN: Triple parts network for few-shot instance segmentation
Few-shot instance segmentation aims to segment unseen objects in a so-called query image, given only one close-up illustration named support image....
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Hybrid two-stage cascade for instance segmentation of overlap** objects
Although two-stage methods of instance segmentation achieve better performance than one-stage counterparts, the segmentation results on overlap**...
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NDAM-YOLOseg: a real-time instance segmentation model based on multi-head attention mechanism
The primary objective of deep learning-based instance segmentation is to achieve accurate segmentation of individual objects in input images or...
