Noise-Aware Fully Webly Supervised Object Detection
Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian
2020Year
12Top-tier citations
Abstract
We investigate the emerging task of learning object detectors with sole image-level labels on the web without requiring any other supervision like precise annotations or additional images from well-annotated benchmark datasets.
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Cited by top-tier papers12
- UNICON: Combating Label Noise Through Uniform Selection and Contrastive LearningNazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian et al.CVPR 2022 · 157 citations
- Visual Distant Supervision for Scene Graph GenerationYuan Yao, Ao Zhang, Xu Han, Mengdi Li et al.ICCV 2021 · 41 citations
- UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionYunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu et al.NeurIPS 2020 · 37 citations
- Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance SegmentationYunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang et al.ICCV 2021 · 22 citations
- Sample Selection via Contrastive Fragmentation for Noisy Label RegressionChris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo et al.NeurIPS 2024 · 8 citations
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