Dual-Task Collaborative Network Based on Edge Information and Coarse Segmentation Map for Camouflaged Object Detection
0
Citation
0
Reference
10
Related Paper
General object detection methods detect various objects independently without paying attention to the relationship between objects. Independent detection of hands and hand-held objects does not take the hand-object relation into account, so the object detector does not achieve optimal performance in such scenes with associated objects. The detection of hand-held objects is an important topic for its wide applications, but few works have been done to model this specific scenario. In this paper, we uses information about the interaction between the hand and the hand-held object as well as causal information when observing the hand-held object as a person to build a novel hand-held object detection model. Experimental results show that our method greatly improves hand-held object detection performance.
Hand held
Object-oriented design
Cite
Citations (1)
Paradoxically, a woman can be mistreated because she is too loved: the loving dependence of a man on a woman can be at the origin of his violence. The woman becomes the object the man uses—or believes to be using—as he pleases. Some women complain about being considered as objects by their men. It is the case of Veronique, who came to see me to escape a painful relationship with a man who belittles her and considers her as an object—an object supposed to satisfy his urges and his whims. Veronique is, for this man, a beautiful object, a precious, irreplaceable object, and nevertheless, he does not want to recognize that he loves her as a woman. Why cannot this beautiful object be at the same time a loved woman for this man? Is it easier, for some men, to be dependent on an object rather than on a person?
Cite
Citations (0)
Whereas the hypothesis Mr.Wang Guowei has proposed of dual attestation is usually considered as a signpost,there are quite a few different viewpoints among scholars.On this basis the writer of the paper intends to discuss the application of dual attestation in historical researches from the epistemological perspective,the purpose of which is to explore into its rationalities as well as limitations.
Viewpoints
Dual purpose
Dual role
Cite
Citations (0)
Dual purpose
Cite
Citations (8)
In this note we introduce and investigate the concepts of dual entwining structures and dual entwined modules. This generalizes the concepts of dual Doi-Koppinen structures and dual Doi-Koppinen modules introduced (in the infinite case over rings) by the author is his dissertation.
Dual purpose
Dual role
Cite
Citations (1)
Consistent segmentation of COVID-19 patient's CT scans across multiple time points is essential to assess disease progression and response to therapy accurately. Existing automatic and interactive segmentation models for medical images only use data from a single time point (static). However, valuable segmentation information from previous time points is often not used to aid the segmentation of a patient's follow-up scans. Also, fully automatic segmentation techniques frequently produce results that would need further editing for clinical use. In this work, we propose a new single network model for interactive segmentation that fully utilizes all available past information to refine the segmentation of follow-up scans. In the first segmentation round, our model takes 3D volumes of medical images from two-time points (target and reference) as concatenated slices with the additional reference time point segmentation as a guide to segment the target scan. In subsequent segmentation refinement rounds, user feedback in the form of scribbles that correct the segmentation and the target's previous segmentation results are additionally fed into the model. This ensures that the segmentation information from previous refinement rounds is retained. Experimental results on our in-house multiclass longitudinal COVID-19 dataset show that the proposed model outperforms its static version and can assist in localizing COVID-19 infections in patient's follow-up scans.
Segmentation-based object categorization
Region growing
Cite
Citations (0)
Object recognition is a tool that is often used in today's digital era. Object recognition can identify an object. However, we cannot identify every single object unless the object has been tagged and studied by the machine. Our goal in this research is to create a program that can detect bottles with the YOLOv3 and COCO datasets and a simple architectural model that can be easily practiced. In this research, we will use YOLO, and the dataset is taken, or the objects that can be identified are only objects in the COCO dataset. Then we do object recognition of the bottles that we collect ourselves as a real case data test. We found that YOLOv3 is better at detecting objects than YOLOv2 with the same dataset.
3D single-object recognition
Cite
Citations (2)
There are some inaccuracies and errors in my article Dual and almost-dual homogeneous spaces. Here I will describe in detail how to correct incorrect statements from this article and which statements there will have to be reformulated in a weaker form.
Dual purpose
Dual role
Cite
Citations (1)
Segment Anything Model (SAM) is a model capable of performing object segmentation in images without requiring any additional training. Although the segmentation produced by SAM lacks high precision, this model holds interesting potential for more accurate segmentation tasks. In this study, we propose a Post-Processing method called Conditional Matting 4 (CM4) to enhance high-precision object segmentation, including prominent, occluded, and complex boundary objects in the segmentation results from SAM. The proposed CM4 Post-Processing method incorporates the use of morphological operations, DistilBERT, InSPyReNet, Grounding DINO, and ViTMatte. We combine these methods to improve the object segmentation produced by SAM. Evaluation is conducted using metrics such as IoU, SAD, MAD, Grad, and Conn. The results of this study show that the proposed CM4 Post-Processing method successfully improves object segmentation with a SAD evaluation score of 20.42 (a 27% improvement from the previous study) and an MSE evaluation score of 21.64 (a 45% improvement from the previous study) compared to the previous research on the AIM-500 dataset. The significant improvement in evaluation scores demonstrates the enhanced capability of CM4 in achieving high precision and overcoming the limitations of the initial segmentation produced by SAM. The contribution of this research lies in the development of an effective CM4 Post-Processing method for enhancing object segmentation in images with high precision. This method holds potential for various computer vision applications that require accurate and detailed object segmentation.
Segmentation-based object categorization
Cite
Citations (0)
ABSTRACT With dual trading, brokers trade both for their customers and for their own account. We study dual trading and find that customers who are less likely to be informed have higher expected profits with dual trading while customers who are more likely to be informed have higher expected profits without dual trading. We also examine the effects of frontrunning. We test the major empirical implications of our model. Consistent with the model, dual traders earn higher profits than non‐dual traders, and customers of dual‐trading brokers do better than customers of non‐dual‐trading brokers.
Dual representation
Electronic trading
Trading strategy
Dual role
Cite
Citations (144)