12 citations · 27 across the 6 of their papers we have counts for
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cs.CV2024
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
Zuoyong Li, Qinghua Lin, Haoyi Fan +2
Semi-supervised learning suffers from the imbalance of labeled and unlabeled training data in the video surveillance scenario. In this paper, we propose a new semi-supervised learn…
cs.CV2023★ 1 cited
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment
Qinghua Lin, Zuoyong Li, Kun Zeng +3
Deep learning techniques have greatly enhanced the performance of fire detection in videos. However, video-based fire detection models heavily rely on labeled data, and the process…
cs.CV2021★ 9 cited
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
Pei Lv, Suqi Hu, Tianran Hao
Weakly supervised object detection (WSOD) has attracted more and more attention since it only uses image-level labels and can save huge annotation costs. Most of the WSOD methods u…