ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.02252
  4. Cited By
Multiple Anchor Learning for Visual Object Detection

Multiple Anchor Learning for Visual Object Detection

4 December 2019
Wei Ke
Tianliang Zhang
Zeyi Huang
QiXiang Ye
Jianzhuang Liu
Dong Huang
    ObjD
ArXivPDFHTML

Papers citing "Multiple Anchor Learning for Visual Object Detection"

14 / 14 papers shown
Title
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search
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
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
Mohsen Zand
Ali Etemad
Michael A. Greenspan
ObjD
22
51
0
14 Jul 2022
Dynamic Label Assignment for Object Detection by Combining Predicted
  IoUs and Anchor IoUs
Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs
Tianxiao Zhang
Bo Luo
A. Sharda
Guanghui Wang
37
18
0
23 Jan 2022
HR-RCNN: Hierarchical Relational Reasoning for Object Detection
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
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
23
8
0
19 Oct 2021
Mutual Supervision for Dense Object Detection
Mutual Supervision for Dense Object Detection
Ziteng Gao
Limin Wang
Gangshan Wu
55
29
0
13 Sep 2021
AGAR a microbial colony dataset for deep learning detection
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
16
24
0
03 Aug 2021
PDNet: Toward Better One-Stage Object Detection With Prediction
  Decoupling
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
Li Yang
Yan Xu
Shaoru Wang
C. Yuan
Ziqi Zhang
Bing Li
Weiming Hu
ObjD
64
19
0
28 Apr 2021
Probabilistic two-stage detection
Probabilistic two-stage detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
27
224
0
12 Mar 2021
Rethinking Transformer-based Set Prediction for Object Detection
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun
Shengcao Cao
Yiming Yang
Kris M. Kitani
ViT
13
319
0
21 Nov 2020
Optimized Loss Functions for Object detection: A Case Study on Nighttime
  Vehicle Detection
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection
Shang Jiang
Haoran Qin
Binglin Zhang
Jieyu Zheng
13
10
0
11 Nov 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
26
120
0
22 Oct 2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector
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
48
275
0
23 Jul 2020
Is Heuristic Sampling Necessary in Training Deep Object Detectors?
Is Heuristic Sampling Necessary in Training Deep Object Detectors?
Joya Chen
Dong Liu
Tong Bill Xu
Shiwei Wu
Yifei Cheng
Enhong Chen
ObjD
VLM
20
12
0
11 Sep 2019
1