Semi-Supervised Object Detection with Sparsely Annotated Dataset

21 June 2020

Papers citing "Semi-Supervised Object Detection with Sparsely Annotated Dataset"

9 / 9 papers shown

Title
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images Marawan Elbatel Keyuan Liu Yanqi Yang Xuelong Li 58 0 0 12 Jul 2024
Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking Huy Le Philipp Schillinger Miroslav Gabriel Alexander Qualmann Ngo Anh Vien 63 0 0 04 Mar 2024
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection Kwang-seok Ryoo Yeonsik Jo Seungjun Lee Mira Kim Ahra Jo S. Kim Seungryong Kim Soonyoung Lee NoLa 84 1 0 21 Dec 2023
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO Akbar Satya Nugraha N. Yudistira Bayu Rahayudi ObjD 26 3 0 27 Feb 2023
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work Pritam Sarkar A. Posen Ali Etemad 84 11 0 13 May 2022
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining Saksham Suri Sai Saketh Rambhatla Rama Chellappa Abhinav Shrivastava ObjD 80 12 0 12 Jan 2022
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 94 16 0 30 Oct 2021
Scaling up instance annotation via label propagation Dim P. Papadopoulos Ethan Weber Antonio Torralba ISeg 99 10 0 05 Oct 2021
Unsupervised Object Detection with LiDAR Clues Haofei Tian Yuntao Chen Jifeng Dai Zhaoxiang Zhang Xizhou Zhu 3DPC 88 28 0 25 Nov 2020