:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kehui, Li, Lingfeng, Liu, Hao, Yuan, Jing, Tai, Xue-Cheng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.19400
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
by: Zhang, Yixin, et al.
Published: (2023)

BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
by: Zhang, Zongkai, et al.
Published: (2024)

Double-well Net for Image Segmentation
by: Liu, Hao, et al.
Published: (2023)

A Mathematical Explanation of UNet
by: Tai, Xue-Cheng, et al.
Published: (2024)

FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
by: Dhar, Mrinal Kanti, et al.
Published: (2023)

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
by: Ahishali, Mete, et al.
Published: (2020)

Multiview Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks
by: Li, Xianju, et al.
Published: (2024)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks
by: Sui, Yang, et al.
Published: (2024)

A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
by: Pan, Haodong, et al.
Published: (2025)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
by: Wang, Bin, et al.
Published: (2022)

Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation
by: Yuan, Xiaochan, et al.
Published: (2026)

Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
by: Feng, Yangqi, et al.
Published: (2025)

Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation
by: Yan, ZhiChao, et al.
Published: (2024)

Diffusion Priors for Variational Likelihood Estimation and Image Denoising
by: Cheng, Jun, et al.
Published: (2024)

D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation
by: Chen, Shengzhe, et al.
Published: (2026)

Towards Context-aware Convolutional Network for Image Restoration
by: Hao, Fangwei, et al.
Published: (2024)

Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification
by: Ju, Rui-Yang, et al.
Published: (2022)

Contour Field based Elliptical Shape Prior for the Segment Anything Model
by: Zhao, Xinyu, et al.
Published: (2025)

Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes
by: Alsabbagh, Abdel Rahman, et al.
Published: (2024)

Reverse Convolution and Its Applications to Image Restoration
by: Huang, Xuhong, et al.
Published: (2025)

Towards Open-World Human Action Segmentation Using Graph Convolutional Networks
by: Xing, Hao, et al.
Published: (2025)

Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval
by: Yang, Jing, et al.
Published: (2026)

SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
by: Zhang, Yichi, et al.
Published: (2025)

Rapid Salient Object Detection with Difference Convolutional Neural Networks
by: Su, Zhuo, et al.
Published: (2025)

Similarity Memory Prior is All You Need for Medical Image Segmentation
by: Tang, Hao, et al.
Published: (2025)

Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awareness
by: Ji, Zongrui, et al.
Published: (2025)

RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
by: Zhang, Xin, et al.
Published: (2023)

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
by: Lan, Libin, et al.
Published: (2024)

Image Restoration Using Deep Regulated Convolutional Networks
by: Liu, Peng, et al.
Published: (2019)

HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model
by: Wang, Tao, et al.
Published: (2025)

Image Segmentation via Variational Model Based Tailored UNet: A Deep Variational Framework
by: Qi, Kaili, et al.
Published: (2025)

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2023)

Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-Conformal Mapping
by: Zhang, Han, et al.
Published: (2025)

NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
by: Tang, Zhenyu, et al.
Published: (2025)

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
by: Zhong, Zihan, et al.
Published: (2024)

Multi-scale Semantic Prior Features Guided Deep Neural Network for Urban Street-view Image
by: Zeng, Jianshun, et al.
Published: (2024)

Joint Multi-scale Gated Transformer and Prior-guided Convolutional Network for Learned Image Compression
by: Chen, Zhengxin, et al.
Published: (2025)

Meta-Learning 3D Shape Segmentation Functions
by: Hao, Yu, et al.
Published: (2021)

A Registration-Based Star-Shape Segmentation Model and Fast Algorithms
by: Zhang, Daoping, et al.
Published: (2025)