output
20022026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

Showing 2024 · cs.CVShow all

6 papers · 2 filters

cs.CV2024

Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition

Kha Nhat Le, Hoang-Tuan Nguyen, Hung Tien Tran +1

Unsupervised domain adaptation (UDA) has become increasingly prevalent in scene text recognition (STR), especially where training and testing data reside in different domains. The…

cs.CV2024★ 5 cited

Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance

Quang-Huy Che, Duc-Tri Le, Bich-Nga Pham +2

Data augmentation is crucial for pixel-wise annotation tasks like semantic segmentation, where labeling requires significant effort and intensive labor. Traditional methods, involv…

cs.CV2024★ 8 cited

Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration

Ngoc Son Nguyen, Van Son Nguyen, Tung Le

Visual Question Answering (VQA) has recently emerged as a potential research domain, captivating the interest of many in the field of artificial intelligence and computer vision. D…

cs.CV2024★ 20 cited

Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination

Quang-Huy Che, Le-Chuong Nguyen, Duc-Tuan Luu +1

Person re-identification (Re-ID) is a challenging task that involves identifying the same person across different camera views in surveillance systems. Current methods usually rely…

cs.CV2024★ 4 cited

Cluster-based Video Summarization with Temporal Context Awareness

Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran +1

In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorpora…

cs.CV2024★ 2 cited

Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments

Hieu Nguyen, Cong-Hoang Ta, Phuong-Thuy Le-Nguyen +2

This paper presents a simple yet efficient ensemble learning framework for Vietnamese scene text spotting. Leveraging the power of ensemble learning, which combines multiple models…