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SparseDet: Improving Sparsely Annotated Object Detection with
  Pseudo-positive Mining
v1v2 (latest)

SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining

IEEE International Conference on Computer Vision (ICCV), 2022
12 January 2022
Saksham Suri
Sai Saketh Rambhatla
Rama Chellappa
Abhinav Shrivastava
    ObjD
ArXiv (abs)PDFHTML

Papers citing "SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining"

5 / 5 papers shown
CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific Methods
CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific Methods
Qinqian Lei
Bo Wang
R. Tan
MLLMVLM
207
0
0
26 Aug 2025
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia DatasetbioRxiv (bioRxiv), 2025
Abdul Rehman
Talha Meraj
A. Minhas
A. Imran
Mohsen Ali
Waqas Sultani
M. Shah
341
1
0
03 Apr 2025
Multispectral Pedestrian Detection with Sparsely Annotated Label
Multispectral Pedestrian Detection with Sparsely Annotated LabelAAAI Conference on Artificial Intelligence (AAAI), 2025
Chan Lee
Seungho Shin
Gyeong-Moon Park
Jung Uk Kim
488
3
0
05 Jan 2025
Box-Level Active Detection
Box-Level Active DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Mengyao Lyu
Jundong Zhou
Hui Chen
Yijie Huang
Dongdong Yu
Yaqian Li
Yandong Guo
Yuchen Guo
Liuyu Xiang
Guiguang Ding
VLMObjD
209
24
0
23 Mar 2023
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse
  Geo-Annotations (Full Version)
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)
Maximilian Bernhard
Matthias Schubert
ObjD
286
4
0
24 Oct 2022
1
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