Resmatch: Referring expression segmentation in a semi-supervised manner
Referring Expression segmentation (RES), a task that involves localizing specific instance-
level objects on the basis of free-form linguistic descriptions, has emerged as a crucial …
level objects on the basis of free-form linguistic descriptions, has emerged as a crucial …
Consistency Regularization based on Masked Image Modeling for Semi-Supervised Remote Sensing Semantic Segmentation
M Cai, H Chen, T Zhang, Y Zhuang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Semisupervised semantic segmentation aims to effectively leverage both unlabeled and
scare labeled images, reducing the reliance on labor-intensive pixel-level labeling for …
scare labeled images, reducing the reliance on labor-intensive pixel-level labeling for …
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Semi-supervised image classification, leveraging pseudo supervision and consistency
regularization, has demonstrated remarkable success. However, the ongoing challenge lies …
regularization, has demonstrated remarkable success. However, the ongoing challenge lies …
Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach
Y Li, C Huang, B Zheng, Z Zheng, H Tang, S Ju… - Knowledge-Based …, 2025 - Elsevier
Computer vision technology has played a significant role in the advancement of retinal
disease detection based on optical coherence tomography (OCT) images; however, it …
disease detection based on optical coherence tomography (OCT) images; however, it …
Boundary-refined prototype generation: A general end-to-end paradigm for semi-supervised semantic segmentation
Semi-supervised semantic segmentation has attracted increasing attention in computer
vision, aiming to leverage unlabeled data through latent supervision. To achieve this goal …
vision, aiming to leverage unlabeled data through latent supervision. To achieve this goal …
[HTML][HTML] Automatic visual recognition for leaf disease based on enhanced attention mechanism
Y Yao, X Deng, X Zhang, J Li, W Sun… - PeerJ Computer Science, 2024 - peerj.com
Recognition methods have made significant strides across various domains, such as image
classification, automatic segmentation, and autonomous driving. Efficient identification of …
classification, automatic segmentation, and autonomous driving. Efficient identification of …
Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation
Generalized Few-Shot Segmentation (GFSS) aims to segment both base and novel classes
in a query image, conditioning on richly annotated data of base classes and limited …
in a query image, conditioning on richly annotated data of base classes and limited …