output
20112026
most citedSupervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

325 citations

Showing cs.CVShow all

15 papers · 1 filter

cs.CV2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1

The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reasoning about occlusion…

cs.CV2025★ 41 cited

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1

Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…

cs.CV2025★ 12 cited

YOLO-Based Defect Detection for Metal Sheets

Po-Heng Chou, Chun-Chi Wang, Wei-Lung Mao

In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve the time-consuming and labor-intensive tasks in industrial manufacturing. In…

cs.CV2025★ 2 cited

Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images

Wei-Lun Chen, Chia-Yeh Hsieh, Yu-Hsiang Kao +3

This study presents a novel approach to human keypoint detection in low-resolution thermal images using transfer learning techniques. We introduce the first application of the Time…

cs.CV2024★ 6 cited

Improving Visual Object Tracking through Visual Prompting

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1

Learning a discriminative model that distinguishes the specified target from surrounding distractors across frames is essential for generic object tracking (GOT). Dynamic adaptatio…

cs.CV2024★ 15 cited

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning

Sarwar Khan

Deepfake technology has raised concerns about the authenticity of digital content, necessitating the development of effective detection methods. However, the widespread availabilit…