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Training Region-based Object Detectors with Online Hard Example Mining

Training Region-based Object Detectors with Online Hard Example Mining

12 April 2016
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
    ObjD
ArXivPDFHTML

Papers citing "Training Region-based Object Detectors with Online Hard Example Mining"

50 / 512 papers shown
Title
On the Importance of Large Objects in CNN Based Object Detection
  Algorithms
On the Importance of Large Objects in CNN Based Object Detection Algorithms
Ahmed Ben Saad
Gabriele Facciolo
Axel Davy
ObjD
19
2
0
20 Nov 2023
Cup Curriculum: Curriculum Learning on Model Capacity
Cup Curriculum: Curriculum Learning on Model Capacity
Luca Scharr
Vanessa Toborek
12
0
0
07 Nov 2023
Image Recognition of Oil Leakage Area Based on Logical Semantic
  Discrimination
Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination
Weiying Lin
Cheng Liu
Xin Zhang
Zhen Wei
Sizhe Li
Xun Ma
21
0
0
03 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
31
14
0
02 Nov 2023
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
Wentao Yuan
Adithyavairavan Murali
Arsalan Mousavian
Dieter Fox
43
19
0
02 Nov 2023
Bilateral Network with Residual U-blocks and Dual-Guided Attention for
  Real-time Semantic Segmentation
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation
Liang Liao
Liang Wan
Ming-Je Liu
Shusheng Li
13
3
0
31 Oct 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We
  Learn First
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zhengwu Zhang
Junxiang Wang
Liang Zhao
37
13
0
28 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger
  Segmentation Models
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Lihe Yang
Xiaogang Xu
Bingyi Kang
Yinghuan Shi
Hengshuang Zhao
21
45
0
23 Oct 2023
Deep MDP: A Modular Framework for Multi-Object Tracking
Deep MDP: A Modular Framework for Multi-Object Tracking
Abhineet Singh
VOT
18
0
0
22 Oct 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency
  for Federated Learning with Static and Streaming Dataset
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
Weijie Liu
Xiaoxi Zhang
Jingpu Duan
Carlee Joe-Wong
Zhi Zhou
Xu Chen
18
7
0
20 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
24
3
0
20 Oct 2023
Joint object detection and re-identification for 3D obstacle
  multi-camera systems
Joint object detection and re-identification for 3D obstacle multi-camera systems
Irene Cortés
Jorge Beltrán
A. D. L. Escalera
Fernando García
3DPC
17
0
0
09 Oct 2023
Low-Resolution Self-Attention for Semantic Segmentation
Low-Resolution Self-Attention for Semantic Segmentation
Yu-Huan Wu
Shi-Chen Zhang
Yun-Hai Liu
Le Zhang
Xin Zhan
Daquan Zhou
Jiashi Feng
Ming-Ming Cheng
Liangli Zhen
ViT
32
3
0
08 Oct 2023
Investigating the Limitation of CLIP Models: The Worst-Performing
  Categories
Investigating the Limitation of CLIP Models: The Worst-Performing Categories
Jiejing Shao
Jiang-Xin Shi
Xiao-Wen Yang
Lan-Zhe Guo
Yu-Feng Li
VLM
26
10
0
05 Oct 2023
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View
  Radar Semantic Segmentation
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation
Yahia Dalbah
Jean Lahoud
Hisham Cholakkal
11
6
0
03 Oct 2023
Revisiting Cephalometric Landmark Detection from the view of Human Pose
  Estimation with Lightweight Super-Resolution Head
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
Qian Wu
Siyong Yeo
Yufei Chen
J. Liu
29
5
0
29 Sep 2023
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain
  Adaptation
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation
Yizhe Xiong
Hui Chen
Zijia Lin
Sicheng Zhao
Guiguang Ding
30
8
0
27 Sep 2023
Tackling the Incomplete Annotation Issue in Universal Lesion Detection
  Task By Exploratory Training
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training
Xiaoyu Bai
Benteng Ma
Changyang Li
Yong-quan Xia
17
0
0
23 Sep 2023
Efficient Long-Short Temporal Attention Network for Unsupervised Video
  Object Segmentation
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
P. Li
Yu Zhang
L. Yuan
Huaxin Xiao
Binbin Lin
Xianghua Xu
VOS
26
17
0
21 Sep 2023
Dual Student Networks for Data-Free Model Stealing
Dual Student Networks for Data-Free Model Stealing
James Beetham
Navid Kardan
Ajmal Saeed Mian
M. Shah
42
17
0
18 Sep 2023
Robust Backdoor Attacks on Object Detection in Real World
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian
Boyuan Ji
Shuke He
Shenhui Huang
Xiang Ling
Bin Wang
Wen Wang
39
3
0
16 Sep 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain
  Performance and Calibration
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
Rachneet Sachdeva
Martin Tutek
Iryna Gurevych
OODD
10
10
0
14 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in
  Semi-Supervised Learning
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
23
7
0
07 Sep 2023
Traffic Light Recognition using Convolutional Neural Networks: A Survey
Traffic Light Recognition using Convolutional Neural Networks: A Survey
Svetlana Pavlitska
Nico Lambing
Ashok Kumar Bangaru
J. Marius Zöllner
23
5
0
05 Sep 2023
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining
  Strategy
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
Q. H. Cap
Atsushi Fukuda
S. Kagiwada
H. Uga
Nobusuke Iwasaki
Hitoshi Iyatomi
22
8
0
05 Sep 2023
CL-MAE: Curriculum-Learned Masked Autoencoders
CL-MAE: Curriculum-Learned Masked Autoencoders
Neelu Madan
Nicolae-Cătălin Ristea
Kamal Nasrollahi
T. Moeslund
Radu Tudor Ionescu
17
10
0
31 Aug 2023
Camera-Driven Representation Learning for Unsupervised Domain Adaptive
  Person Re-identification
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
Geon Lee
Sanghoon Lee
Dohyung Kim
Y. Shin
Yongsang Yoon
Bumsub Ham
18
27
0
23 Aug 2023
TransFace: Calibrating Transformer Training for Face Recognition from a
  Data-Centric Perspective
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
Jun Dan
Yang Liu
Haoyu Xie
Jiankang Deng
H. Xie
Xuansong Xie
Baigui Sun
ViT
20
21
0
20 Aug 2023
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity
  Within Datasets
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
Shubham Shrivastava
Xianling Zhang
Sushruth Nagesh
Armin Parchami
16
1
0
19 Aug 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud
  Recognition
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
Xuanyu Yi
Jiajun Deng
Qianru Sun
Xiansheng Hua
J. Lim
Hanwang Zhang
3DPC
13
14
0
18 Aug 2023
ResQ: Residual Quantization for Video Perception
ResQ: Residual Quantization for Video Perception
Davide Abati
H. Yahia
Markus Nagel
A. Habibian
MQ
13
2
0
18 Aug 2023
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level
  Weighting
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting
Sahar Rahimi Malakshan
Mohammad Saeed Ebrahimi Saadabadi
Nima Najafzadeh
Nasser M. Nasrabadi
CVBM
14
1
0
18 Aug 2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain
  Alignment
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment
Ji Zhang
Xiao-Jun Wu
Zhi-Qi Cheng
Qin He
Wei Li
25
5
0
16 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
19
2
0
16 Aug 2023
Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in
  Mariupol, Ukraine, in 2022/23
Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23
Georg Zitzlsberger
M. Podhorányi
13
0
0
11 Aug 2023
Towards Packaging Unit Detection for Automated Palletizing Tasks
Towards Packaging Unit Detection for Automated Palletizing Tasks
Markus Völk
Kilian Kleeberger
Werner Kraus
Richard Bormann
22
0
0
11 Aug 2023
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI
N. Merkle
R. Bahmanyar
C. Henry
S. Azimi
X. Yuan
...
V. Gstaiger
S. Auer
A. Schneibel
M. Wieland
Thomas J. Kraft
13
3
0
09 Aug 2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
Yilun Chen
Zhiding Yu
Yukang Chen
Shiyi Lan
Anima Anandkumar
Jiaya Jia
J. Álvarez
3DPC
29
48
0
08 Aug 2023
Scope Loss for Imbalanced Classification and RL Exploration
Scope Loss for Imbalanced Classification and RL Exploration
Hasham Burhani
Xiaolong Shi
Jonathan Jaegerman
Daniel Balicki
14
0
0
08 Aug 2023
Balanced Classification: A Unified Framework for Long-Tailed Object
  Detection
Balanced Classification: A Unified Framework for Long-Tailed Object Detection
Tianhao Qi
Hongtao Xie
P. Li
Jiannan Ge
Yongdong Zhang
18
11
0
04 Aug 2023
Hard Adversarial Example Mining for Improving Robust Fairness
Hard Adversarial Example Mining for Improving Robust Fairness
Chenhao Lin
Xiang Ji
Yulong Yang
Q. Li
Chao Shen
Run Wang
Liming Fang
AAML
22
2
0
03 Aug 2023
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical
  Image Segmentation
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
Yongkang He
Mingjin Chen
Zhi-Yi Yang
Yongyi Lu
26
2
0
02 Aug 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining
  for Whole Slide Image Classification
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Wenhao Tang
Sheng Huang
Xiaoxian Zhang
Fengtao Zhou
Yi Zhang
Bo Liu
26
39
0
28 Jul 2023
Cos R-CNN for Online Few-shot Object Detection
Cos R-CNN for Online Few-shot Object Detection
G. P. Data
Henry Howard-Jenkins
D. W. Murray
V. Prisacariu
ObjD
14
1
0
25 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
19
6
0
19 Jul 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-Learning
Jingyao Wang
Wenwen Qiang
Xingzhe Su
Changwen Zheng
Fuchun Sun
Hui Xiong
22
9
0
18 Jul 2023
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep
  Learning-Based Centroblast Cell Detection
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
Narongrid Seesawad
Piyalitt Ittichaiwong
Thapanun Sudhawiyangkul
Phattarapong Sawangjai
P. Thuwajit
...
N. Angkathunyakul
Narit Hnoohom
Sumeth Yuenyong
C. Thuwajit
Theerawit Wilaiprasitporn
11
1
0
06 Jul 2023
Seeing is not Believing: An Identity Hider for Human Vision Privacy
  Protection
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
Tao Wang
Yushu Zhang
Zixuan Yang
Hua Zhang
Zhongyun Hua
PICV
CVBM
37
7
0
02 Jul 2023
Real-time High-Resolution Neural Network with Semantic Guidance for
  Crack Segmentation
Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation
Yongshang Li
Ronggui Ma
Han Liu
Gaoli Cheng
SSeg
14
29
0
01 Jul 2023
A systematic study of the foreground-background imbalance problem in
  deep learning for object detection
A systematic study of the foreground-background imbalance problem in deep learning for object detection
Han Gu
Haoyu Dong
N. Konz
Maciej Mazurowski
ObjD
20
3
0
28 Jun 2023
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