Multiple Anchor Learning for Visual Object Detection

4 December 2019

Papers citing "Multiple Anchor Learning for Visual Object Detection"

20 / 20 papers shown

Title
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search Nikhil Angad Bakshi Tejus Gupta Ramina Ghods J. Schneider 27 4 0 04 Apr 2023
Multi-Semantic Interactive Learning for Object Detection Shuxin Wang Zhichao Zheng Yanhui Gu Junsheng Zhou Yi Chen ObjD 21 0 0 18 Mar 2023
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection Mohsen Zand Ali Etemad Michael A. Greenspan ObjD 26 51 0 14 Jul 2022
A Dual Weighting Label Assignment Scheme for Object Detection Shuai Li Chenhang He Ruihuang Li Lei Zhang 30 79 0 18 Mar 2022
Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs Tianxiao Zhang Bo Luo A. Sharda Guanghui Wang 42 19 0 23 Jan 2022
UGV-UAV Object Geolocation in Unstructured Environments David Guttendorf D. W. Hamilton Annie Heckman H. Herman Felix Jonathan ... Rohan Saxena Jeff Schneider Matt Schnur Carter Tiernan Trenton Tabor 35 2 0 14 Jan 2022
HR-RCNN: Hierarchical Relational Reasoning for Object Detection Hao Chen Abhinav Shrivastava 17 1 0 26 Oct 2021
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation Kemal Oksuz Baris Can Cam Fehmi Kahraman Z. S. Baltaci Sinan Kalkan Emre Akbas 34 8 0 19 Oct 2021
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection Shiwei Zhang Wei Ke Lin Yang WSOD 21 2 0 18 Oct 2021
Mutual Supervision for Dense Object Detection Ziteng Gao Limin Wang Gangshan Wu 61 29 0 13 Sep 2021
AGAR a microbial colony dataset for deep learning detection Sylwia Majchrowska J. Pawlowski Grzegorz Gula T. Bonus Agata Hanas Adam Loch A. Pawlak J. Roszkowiak Tomasz Golan Z. Drulis-Kawa 29 24 0 03 Aug 2021
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling Li Yang Yan Xu Shaoru Wang Chun Yuan Ziqi Zhang Bing Li Weiming Hu ObjD 64 19 0 28 Apr 2021
Probabilistic two-stage detection Xingyi Zhou V. Koltun Philipp Krahenbuhl ObjD 47 224 0 12 Mar 2021
Rethinking Transformer-based Set Prediction for Object Detection Zhiqing Sun Shengcao Cao Yiming Yang Kris Kitani ViT 27 319 0 21 Nov 2020
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection Shang Jiang Haoran Qin Binglin Zhang Jieyu Zheng 26 10 0 11 Nov 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection Zeyi Huang Yang Zou V. Bhagavatula Dong Huang WSOD 28 120 0 22 Oct 2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector Xiang Long Kaipeng Deng Guanzhong Wang Yan Zhang Qingqing Dang ... Hui Shen Jianguo Ren Shumin Han Errui Ding Shilei Wen ObjD 58 276 0 23 Jul 2020
RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen Zheng-Wei Zhang Yue Cao Liwei Wang Stephen Lin Han Hu 25 118 0 16 Jul 2020
Probabilistic Anchor Assignment with IoU Prediction for Object Detection Kang-jik Kim Hee Seok Lee 23 391 0 16 Jul 2020
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 28 12 0 11 Sep 2019