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THE DEVIL IS IN THE OBJECT BOUNDARY: TOWARDS ANNOTATION-FREE INSTANCE SEGMENTATION USING FOUNDATION MODELS
会议论文
12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024, Hybrid, Vienna, Austria, May 7, 2024 - May 11, 2024
作者:
Shi, Cheng
;
Yang, Sibei
收藏
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浏览/下载:296/0
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提交时间:2024/08/23
Clustering algorithms
Foundations
Object recognition
Zero-shot learning
Clustering results
Down-stream
Foundation models
Human annotations
Individual objects
Intermediate layers
Large amounts of data
Object boundaries
Objects detection
Performance
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
会议论文
THE 32ND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-23), Macao, China, August 19, 2023 - August 25, 2023
作者:
Chuanyang Hu
;
Shipeng Yan
;
Zhitong Gao
Adobe PDF(7Kb)
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浏览/下载:666/109
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提交时间:2023/04/20
Deep learning
Learning systems
Critical challenges
Labeled data
Large amounts
Learn+
Learning tasks
Mixture modeling
Noisy labels
Real-world
Training data
Weibull mixture
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation
会议论文
AAAI, Washington, DC, United states, February 7, 2023 - February 14, 2023
作者:
Adobe PDF(406Kb)
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收藏
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浏览/下载:355/1
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提交时间:2023/03/21
Artificial intelligence
Learning systems
Biological process
Catastrophic forgetting
Diverse locations
Identification method
Large amounts
Learning process
Life long learning
Modeling performance
Person re identifications
Real-world
Virtual adversarial training for semi-supervised breast mass classification
会议论文
PROGRESS IN BIOMEDICAL OPTICS AND IMAGING - PROCEEDINGS OF SPIE, Virtual, Online, February 20, 2022 - February 24, 2022
作者:
Chena, Xuxin
;
Wang, Ximin
;
Zhang, Ke
;
Fung, Kar-Ming
;
Thai, Theresa C.
Adobe PDF(329Kb)
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浏览/下载:622/178
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提交时间:2022/05/20
Classification (of information)
Computer aided instruction
Deep learning
E-learning
Mammography
Quality control
Supervised learning
Breast mass
Breast mass classification
Digital mammograms
Large amounts
Mammographic
Mass classifications
Medical image analysis
Semi-supervised
Unlabeled data
Virtual adversarial training
An Energy Efficient Precision Scalable Computation Array for Neural Radiance Field Accelerator
会议论文
APCCAS 2022 - 2022 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, Virtual, Online, China, November 11, 2022 - November 13, 2022
作者:
Chaolin Rao
;
Haochuan Wan
;
Yueyang Zheng
;
Pingqiang Zhou
;
Xin Lou
Adobe PDF(3048Kb)
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收藏
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浏览/下载:315/0
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提交时间:2023/05/12
Computational efficiency
Energy efficiency
Energy efficient
Hardware accelerators
Large amounts
Multiply accumulate operations
Multiplyaccumulate (MAC)
Neural radiance field
Neural rendering
Novel view synthesis
Photo-realistic
Precision-scalable
Edge Node Aware Adaptive Data Processing Method for Ubiquitous NB-IoT
期刊论文
JOURNAL OF SENSORS, 2022, 卷号: 2022
作者:
Sun, Fanglei
;
Diao, Zhifeng
Adobe PDF(862Kb)
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浏览/下载:540/235
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提交时间:2022/10/14
Digital storage
Economic and social effects
Economics
Piles
Classifieds
Confidential data
Daily lives
Data informations
Data processing methods
Development needs
Economic development
Edge nodes
Large amounts of data
Massive data
Generative Negative Text Replay for Continual Vision-Language Pretraining
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Tel Aviv, Israel, October 23, 2022 - October 27, 2022
作者:
Yan, Shipeng
Adobe PDF(1184Kb)
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收藏
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浏览/下载:890/155
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提交时间:2023/02/03
Classification (of information)
Image classification
Image enhancement
Large dataset
Text processing
Zero-shot learning
Continual learning
Down-stream
Image texts
Images classification
Large amounts
Multi-modal
Performance
Pre-training
Training model
Vision-language pretraining
Deep Learning and Medical Image Analysis for COVID-19 Diagnosis and Prediction
期刊论文
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, 2022, 卷号: 24, 页码: 179-201
作者:
Liu, Tianming
;
Siegel, Eliot
;
Shen, Dinggang
Adobe PDF(2117Kb)
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收藏
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浏览/下载:75/0
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提交时间:2022/07/15
Deep learning
Diagnosis
Image analysis
Learning systems
Medical imaging
Data set
Healthcare organizations
High quality
Image analysis method
Imaging data
Large amounts
Learning models
Learning tool
Medical image analysis
Thoracic imaging
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning
会议论文
PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, Philadelphia, PA, United states, May 23, 2022 - May 27, 2022
作者:
Wenji Liu
;
Kai Bai
;
Xuming He
;
Shuran Song
;
Changxi Zheng
Adobe PDF(5724Kb)
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收藏
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浏览/下载:516/1
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提交时间:2022/09/09
Fish
Reinforcement learning
High costs
Large amounts
Performance
Physical environments
Physics-based Simulation
Rigid body
Simulation framework
Soft-bodies
Training data
Underwater robots
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