A Combination of Deep Feature Subtraction and Refinement Network for Foreground Segmentation

kod QR

A Combination of Deep Feature Subtraction and Refinement Network for Foreground Segmentation

Chapter 1. Introduction; Chapter 2. Background and related Work; Chapter 3. Deep feature subtraction and refinement network for background subtraction; ...

Zapisane w:

Opis bibliograficzny
Język:	eng
Dostęp online:	https://dlib.udn.vn/module/chi-tiet-sach?RecordID=3387
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Thư viện lưu trữ:	Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng

Podobne zapisy

Background and foreground :
Wydane: (1960)

Background and foreground ; an anthology of articles from the New York times magazine /
Wydane: (1960)

Building a Deep Learning Model for Fetal Head Segmentation in Ultrasound Images
od: Trinh, Thai Son
Wydane: (2026)

Exploring the Integer Addition and Subtraction Landscape
od: Bofferding, Laura, i wsp.
Wydane: (2020)

DWACE: Enhancing Graph Clustering via Autoencoder and Contrastive Learning Refinement of DeepWalk Embeddings
od: Mai, Nguyen Xuan Thao, i wsp.
Wydane: (2026)

Medical image segmentation by convolutional neural network
od: Trần Song Toàn
Wydane: (2022)

Refinement
od: Derrick, John, i wsp.
Wydane: (2020)

A Cultural-Historical Study of Children Learning Science: Foregrounding Affective Imagination in Play-based Settings
od: Fleer, Marilyn, i wsp.
Wydane: (2016)

A DEEP LEARNING APPROACH FOR ACCURATE FACIAL WRINKLE SEGMENTATION USING UNET++ MODEL WITH DICE AND FOCAL LOSS FUNCTIONS
Wydane: (2026)

Fossilization Analysis on Segmental and Suprasegmental Features of EFL Learners (Javanese-English): A Comparative Study
od: Sukma, Nur Ardini, i wsp.
Wydane: (2023)

Featured Combined Hybrid Recommendation System: Content-based Combined with Matrix Factorization
od: Nguyen Si Thin

Deep Neural Networks in a Mathematical Framework
od: Caterini, Anthony L., i wsp.
Wydane: (2020)

Neural networks and deep learning : a textbook
od: Aggarwal, Charu C
Wydane: (2023)

Biofuels refining and performance
Wydane: (2008)

Refining composition skills:
od: Smalley, Rgina L.
Wydane: (2000)

Refining composition skills
od: Smalley, Regina L
Wydane: (2012)

Refining composition skills :
od: Smalley, Regina L.
Wydane: (2012)

Refining policy with the poor /
od: Shanks, Edwin
Wydane: (2002)

Fundamentals of petroleum refining
od: Fahim, Mohamed A
Wydane: (2010)

A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images
od: Tran, Ngoc Du, i wsp.
Wydane: (2023)

Medicinal Herb Identification through Stacking Ensemble Learning and Fine-Tuned Deep Neural Networks for Feature Learning
od: Le, Thi Duc Ngoc, i wsp.
Wydane: (2024)

Handbook of petroleum refining processes
Wydane: (2003)

The petroleum refining technology and economics
od: Gary, James H.
Wydane: (1975)

Heuristic-guided abstraction refinement /

Handbook of petroleum refining processes /
od: Meyers, Robert A.
Wydane: (1997)

STUCNET - SWIN TRANSFORMER-V2 UNET FOR CRACK SEGMENTATION NETWORK
od: Phan, Hai, i wsp.
Wydane: (2025)

Neural Networks and Deep Learning
od: Aggarwal, Charu C.
Wydane: (2020)

Genetic differences between two strains of xylella fastidiosa revealed by suppression subtractive hybridization /
od: Harakava, Ricardo.

Combining Lightweight Deep Learning Models with Data Augmentation for Analysis of Cervical Cells
od: Le, Thi Thu Nga, i wsp.
Wydane: (2025)

Refining composition skills rhetoric and grammar for ESL students
od: Smalley, Regina L.
Wydane: (1986)

Refining Composition Skills : Rhetoric and Grammar for ESL Students /
od: Smalley, Regina L.
Wydane: (1986)

A combination of feature selection and data sampling techniques for software fault prediction
od: Ha, Thi Minh Phuong, i wsp.
Wydane: (2024)

Use of subtractive hybridization to design habitat-based oligonucleotide probes for investigation of natural bacterial communities /
od: Mau, Margit.

Environmental analysis and technology for the refining industry
od: Speight, James G.
Wydane: (2005)

How to refine your stock strategy
Wydane: (2005)

How to refine your stock strategy
Wydane: (2005)

Automatic Methods for the Refinement of System Models
od: Seiter, Julia, i wsp.
Wydane: (2020)

Manila Bay : Refined risk assessment
od: Dr. Chua Thia-Eng
Wydane: (2014)

Deep Learning Classifiers with Memristive Networks
od: James, Alex Pappachen
Wydane: (2020)

A framework for customizable deep neural network hardware generation on FPGA