Suchergebnisse - "Object segmentation"

P ^ M: Progressive Perspective Mining for Referring Video Object Segmentation von Wang, Yihan, Sun, Baoli, Ma, Xinzhu, Ge, Hongwei, Fan, Jiulin, Li, Haojie

“… Referring video object segmentation (RVOS) aims to segment the object instances referred to by linguistic expressions in video frames …”
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Decoupling Multimodal Transformers for Referring Video Object Segmentation von Gao, Mingqi, Yang, Jinyu, Han, Jungong, Lu, Ke, Zheng, Feng, Montana, Giovanni

“… Referring Video Object Segmentation (RVOS) aims to segment the text-depicted object from video sequences …”
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CLUE: Contrastive language-guided learning for referring video object segmentation von Gao, Qiqi, Zhong, Wanjun, Li, Jie, Zhao, Tiejun

“… Referring video object segmentation (R-VOS), the task of separating the object described by a natural language query from the video frames, has become increasingly critical with recent advances in multi-modal understanding …”
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Dual-feature Fusion Attention Network for Small Object Segmentation von Fei, Xin, Li, Xiaojie, Shi, Canghong, Ren, Hongping, Mumtaz, Imran, Guo, Jun, Wu, Yu, luo, Yong, Lv, Jiancheng, Wu, Xi

“… methods perform poorly in small medical objects segmentation due to class imbalance and boundary ambiguity …”
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LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation von Yuan, Linfeng, Shi, Miaojing, Yue, Zijie, Chen, Qijun

“… Referring video object segmentation (RVOS) aims to segment the target instance referred by a given text expression in a video clip …”
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Memory-Efficient Continual Learning Object Segmentation for Long Videos von Nazemi, Amir, Javad Shafiee, Mohammad, Gharaee, Zahra, Fieguth, Paul

“… Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from preceding frames is used in segmenting the current frame …”
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Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure von Ran Shi, King Ngi Ngan, Songnan Li, Paramesran, Raveendran, Hongliang Li

“… In this paper, first, we present a novel subjective object segmentation visual quality database, in which a total of 255 segmentation results were evaluated by more than thirty human subjects …”
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SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network von Huynh, Chuong, Zhou, Yuqian, Lin, Zhe, Barnes, Connelly, Shechtman, Eli, Amirghodsi, Sohrab, Shrivastava, Abhinav

“… In photo editing, it is common practice to remove visual distractions to improve the overall image quality and highlight the primary subject …”
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Hand-Held Object Segmentation and Tracking von Nguyen, Huy Anh

“… This subject is of growing relevance due to its applications across augmented reality, robotics, and interactive …”
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Unsupervised Subject Detection via Remote PPG von Wang, Wenjin, Stuijk, Sander, de Haan, Gerard

“… Subject detection is a crucial task for camera-based remote healthcare monitoring …”
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Road Surface Defect Detection-From Image-Based to Non-Image-Based: A Survey von Yu, Jongmin, Jiang, Jiaqi, Fichera, Sebastiano, Paoletti, Paolo, Layzell, Lisa, Mehta, Devansh, Luo, Shan

“… As a result, there has been a growing interest in the literature on the subject, leading to the development of various road surface defect detection methods …”
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Visual Object Segmentation Based on Temporal and Linguistic Cues von Yang, Zhao

“… Visual object segmentation is a subject that deals with this task. It concerns the prediction of pixel-wise masks that delineate objects of interest from visual data …”
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Design and perceptual validation of performance measures for salient object segmentation von Movahedi, Vida, Elder, James H

“… Empirical evaluation of salient object segmentation methods requires i) a dataset of ground truth object segmentations and ii …”
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Adaptive Gaussian Mixture Model Driven Level Set Segmentation for Remote Pulse Rate Detection von Woyczyk, Alexander, Fleischhauer, Vincent, Zaunseder, Sebastian

“… ). The proposed method combines level sets with subject-individual Gaussian Mixture Models to yield a time varying ROI …”
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Continuous Semi-autonomous Prosthesis Control Using a Depth Sensor on the Hand von Castro, Miguel Nobre, Dosen, Strahinja

“… ) but their intuitive control by the user is still an open challenge. It has been recently demonstrated that semi-autonomous control can allow the subjects to operate complex prostheses effectively …”
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HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos von Banerjee, Prithviraj, Shkodrani, Sindi, Moulon, Pierre, Hampali, Shreyas, Han, Shangchen, Zhang, Fan, Zhang, Linguang, Fountain, Jade, Miller, Edward, Basol, Selen, Newcombe, Richard, Wang, Robert, Engel, Jakob Julian, Hodan, Tomas

“… The dataset offers over 833 minutes (3.7M+ images) of recordings that feature 19 subjects interacting with 33 diverse rigid objects …”
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An Object Segmentation Approach For Mobile Lidar Point Clouds von Sahin, Musa Servan, Acarman, Tankut

“… And the technical challenge lies along object segmentation because well-known clustering methods can not perform well with stand-alone 3D point cloud data …”
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Automated Zebrafish Spine Scoring System Based on Instance Segmentation von Chen, Wen-Hsin, Kuo, Tien-Ying, Wei, Yu-Jen, Ho, Cheng-Jung, Lin, Ming-der, Chen, Huan, Lin, Wen-Ying

“… In studying new medicines for osteoporosis, researchers use zebrafish as animal subjects to test drugs and observe the growth situation of their vertebrae in the spine to confirm the efficacy of new medicines …”
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Detection of multiple salient objects through the integration of estimated foreground clues von Oh, Kanghan, Lee, Myungeun, Kim, Gwangbok, Kim, Soohyung

“… Although this subject has been very well studied for the detection of salient objects, many technical challenges still exist regarding the multiple-object-detection task …”
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Object Segmentation and Its Visual Quality Assessment for Images von Shi, Ran

“… In order to extract the objects, object segmentation is a key technique. Therefore, it is necessary to develop better object segmentation algorithms for generating accurate segmentation results …”
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