Incremental learning technologies for semantic segmentation

Incremental learning technologies for semantic segmentation

Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. However, many models encounter the problem of catastrophic forgetting, i.e. when the model is required to learn a new task without labels for old objects, its performance drops signific...

Saved in:

書目詳細資料
主要作者:	Yang, Yizhuo
其他作者:	Xie Lihua
格式:	Thesis-Master by Coursework
語言:	English
出版:	Nanyang Technological University 2022
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/157338
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Semantic segmentation of delayered IC images with shape-variant convolution
由: Wang, Xue
出版: (2022)

Incremental Q-learning Partially Observable Markov Decision Process intraday trading system
由: Goh, Choon Tat.
出版: (2010)

Towards coordinated multi-agent exploration problem via segmentation and reinforcement learning
由: Chen, Zichen
出版: (2020)

A pseudo-incremental rough set-based pseudo outer-product with ensemble learning (ieRSPOP++) fuzzy neural network
由: Iyer, Aparna.
出版: (2013)

A novel incremental rough set-based pseudo outer-product with ensemble learning (ieRSPOP) neuro-fuzzy system for forecasting volatility
由: Tor Das, Ronald.
出版: (2010)

SmooSeg: smoothness prior for unsupervised semantic segmentation
由: Lan, Mengcheng, et al.
出版: (2024)

Towards high-quality panoptic segmentation
由: Chen, Chongsong
出版: (2020)

Deep-learning for conversational speech using semantic textual analysis
由: Suthakar, Shiny Gladdys
出版: (2022)

Synthesising missing modalities for multimodal MRI segmentation
由: Rajasekara Pandian Akshaya Muthu
出版: (2021)

Semantic mapping for articulated objects
由: Luar, Shui Song
出版: (2019)

Semantic representation learning for natural language understanding
由: Zhang, Yong
出版: (2018)

Towards robust sensing and recognition : from statistical learning to transfer learning
由: Yang, Jianfei
出版: (2020)

Neural fuzzy semantic modelling of blood glucose under different dietary regime
由: Lai, Wei Song
出版: (2015)

Fingerprint recognition with line segment Hausdorff distance
由: Liu, Chuan.
出版: (2008)

Vision language representation learning
由: Yang, Xiaofeng
出版: (2023)

Temporal feature matching and propagation for semantic segmentation on 3D point cloud sequences
由: Shi, Hanyu, et al.
出版: (2023)

Human action recognition in the dark based on transferring learning and LSTM
由: Yang, Fan
出版: (2023)

Meta-learning for deep reinforcement learning
由: Poon, Jun Yaw
出版: (2021)

Deep transfer learning on continual learning
由: Sousa Leite de Carvalho, Marcus Vinicius
出版: (2023)

Fintech related machine learning : experimental investigation on the effects of data variance towards difficulty of learning for deep learning models
由: Chua, Shearman Wei Jie
出版: (2021)

Improving deep reinforcement learning with advanced exploration and transfer learning techniques
由: Yin, Haiyan
出版: (2020)

Federated learning study
由: Aratrika, Pal
出版: (2023)

Federated learning playground
由: Puvaneswaran Arumugam
出版: (2023)

Fintech related machine learning : credit risk analysis using machine learning models
由: Ng, Zaphyr Wee Hau
出版: (2021)

Differential privacy in machine learning
由: Tan, Nicole
出版: (2022)

Reinforcement learning for swarm systems
由: Arumugam, Ramaswamy
出版: (2022)

When contrastive learning meets clustering : explore inter-image contrast for image representation learning
由: Li, Shenggui
出版: (2021)

Investigating the causes of the vulnerability of CNNs to adversarial perturbations: learning objective, model components, and learned representations
由: Coppola, Davide
出版: (2023)

Deep learning in virtual reality
由: Feng, Chengxuan
出版: (2021)

Study of attacks on federated learning
由: Thung, Jia Cheng
出版: (2021)

Deep learning and computer chess
由: Low, Benedict Yu
出版: (2021)

Machine learning for industrial IOT
由: Yeow, Brandon Wei Liang
出版: (2023)

Deep learning for defect detection
由: Low, Edwin Xuan Hao
出版: (2023)

Adversarial robustness of deep reinforcement learning
由: Qu, Xinghua
出版: (2022)

Deep learning with intelligent opponent in fencing
由: Loh, Qiao Yan
出版: (2022)

Deep learning for combinatorial optimization problems
由: Xin, Liang
出版: (2022)

Study on attacks against federated learning
由: Guo, Feiyan
出版: (2022)

Study on attacks against federated learning
由: Tan, Ezekiel Wei Ren
出版: (2022)

Deep learning approaches for traffic prediction
由: Shao, Hongxin
出版: (2020)

Advanced topics in weakly supervised learning
由: Feng, Lei
出版: (2021)