Noise-Aware Fully Webly Supervised Object Detection
Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian
2020年份
12顶会引用
摘要
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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引用它的顶会 Paper12
- UNICON: Combating Label Noise Through Uniform Selection and Contrastive LearningNazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian 等CVPR 2022 · 被引用 157 次
- Visual Distant Supervision for Scene Graph GenerationYuan Yao, Ao Zhang, Xu Han, Mengdi Li 等ICCV 2021 · 被引用 41 次
- UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionYunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu 等NeurIPS 2020 · 被引用 37 次
- Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance SegmentationYunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang 等ICCV 2021 · 被引用 22 次
- Sample Selection via Contrastive Fragmentation for Noisy Label RegressionChris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo 等NeurIPS 2024 · 被引用 8 次
它引用的顶会 Paper1
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