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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 / 515 papers shown
Title
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
34
19
0
30 May 2024
Boosting Protein Language Models with Negative Sample Mining
Boosting Protein Language Models with Negative Sample Mining
Yaoyao Xu
Xinjian Zhao
Xiaozhuang Song
Benyou Wang
Tianshu Yu
38
0
0
28 May 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged
  to Experts for Annotation Rather Than the Model
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
Chen Huang
Yang Deng
Wenqiang Lei
Jiancheng Lv
Ido Dagan
41
4
0
20 May 2024
Double Correction Framework for Denoising Recommendation
Double Correction Framework for Denoising Recommendation
Zhuangzhuang He
Yifan Wang
Yonghui Yang
Peijie Sun
Le Wu
Haoyue Bai
Jinqi Gong
Richang Hong
Min Zhang
30
16
0
18 May 2024
Fourier Boundary Features Network with Wider Catchers for Glass
  Segmentation
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation
Xiaolin Qin
Jiacen Liu
Qianlei Wang
Shaolin Zhang
Fei Zhu
Zhang Yi
21
0
0
15 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual
  Backbone Training
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
Yulin Wang
Yang Yue
Rui Lu
Yizeng Han
Shiji Song
Gao Huang
VLM
56
12
0
14 May 2024
Fast Computation of Superquantile-Constrained Optimization Through
  Implicit Scenario Reduction
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
Jake Roth
Ying Cui
26
2
0
13 May 2024
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic
  Aperture Radar Images Based on Deep Learning Method
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
Yanbing Bai
Siao Li
Rui-Yang Ju
Zihao Yang
Jinze Yu
Jen-Shiun Chiang
19
0
0
28 Apr 2024
MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text
  Detection
MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text Detection
Chengpei Xu
Wenjing Jia
Ruomei Wang
Xiaonan Luo
Xiangjian He
23
0
0
26 Apr 2024
Self-Balanced R-CNN for Instance Segmentation
Self-Balanced R-CNN for Instance Segmentation
L. Rossi
Akbar Karimi
Andrea Prati
ISeg
SSeg
34
9
0
25 Apr 2024
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with
  Self-Distillation
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
Song Wang
Jiawei Yu
Wentong Li
Wenyu Liu
Xiaolu Liu
Junbo Chen
Jianke Zhu
43
17
0
18 Apr 2024
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration
  for IoT-based Perception System
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Perception System
Shijing Hu
Ruijun Deng
Xin Du
Zhihui Lu
Qiang Duan
Yi He
Shih-Chia Huang
Jie Wu
VLM
19
3
0
16 Apr 2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image
  Segmentation
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Songkai Sun
Qingshan She
Yuliang Ma
Rihui Li
Yingchun Zhang
MedIm
28
0
0
11 Apr 2024
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced
  Samples
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
Ao Zhou
Bin Liu
Jin Wang
Grigorios Tsoumakas
26
2
0
27 Mar 2024
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for
  Intelligent Transportation System
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System
Jing Li
Lu Bai
Bi-Hong Yang
Chang Li
Lingfei Ma
Lixin Cui
Edwin R. Hancock
43
1
0
24 Mar 2024
Weak Supervision with Arbitrary Single Frame for Micro- and
  Macro-expression Spotting
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting
Wang-Wang Yu
Xian-Shi Zhang
Fuya Luo
Yijun Cao
Kai-Fu Yang
Hong-Mei Yan
Yong-Jie Li
34
1
0
21 Mar 2024
When Semantic Segmentation Meets Frequency Aliasing
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen
Lin Gu
Ying Fu
51
5
0
14 Mar 2024
Class Imbalance in Object Detection: An Experimental Diagnosis and Study
  of Mitigation Strategies
Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
Nieves Crasto
ObjD
17
5
0
11 Mar 2024
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy
  Prediction
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction
Ji Zhang
Yiran Ding
Zixin Liu
3DPC
35
8
0
08 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
21
1
0
06 Mar 2024
Are Dense Labels Always Necessary for 3D Object Detection from Point
  Cloud?
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Chenqiang Gao
Chuandong Liu
Jun Shu
Fangcen Liu
Jiang-Dong Liu
Luyu Yang
Xinbo Gao
Deyu Meng
21
2
0
05 Mar 2024
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Yaoyan Zheng
Hongyu Yang
Di Huang
31
0
0
05 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
28
9
0
27 Feb 2024
Investigating Deep Watermark Security: An Adversarial Transferability
  Perspective
Investigating Deep Watermark Security: An Adversarial Transferability Perspective
Biqing Qi
Junqi Gao
Yiang Luo
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
18
3
0
26 Feb 2024
GraphKD: Exploring Knowledge Distillation Towards Document Object
  Detection with Structured Graph Creation
GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation
Ayan Banerjee
Sanket Biswas
Josep Lladós
Umapada Pal
38
1
0
17 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
21
8
0
16 Feb 2024
Understanding the Training Speedup from Sampling with Approximate Losses
Understanding the Training Speedup from Sampling with Approximate Losses
Rudrajit Das
Xi Chen
Bertram Ieong
Parikshit Bansal
Sujay Sanghavi
14
0
0
10 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask
  Representation via Temporal Action-Driven Contrastive Loss
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
32
5
0
09 Feb 2024
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D
  Object Detection
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
Feng Liu
Tengteng Huang
Qianjing Zhang
Haotian Yao
Chi Zhang
Fang Wan
QiXiang Ye
Yanzhao Zhou
25
12
0
06 Feb 2024
Exploiting Low-level Representations for Ultra-Fast Road Segmentation
Exploiting Low-level Representations for Ultra-Fast Road Segmentation
Huan Zhou
Feng Xue
Yucong Li
Shi Gong
Yiqun Li
Yu Zhou
AI4TS
SSeg
15
3
0
04 Feb 2024
Multi-Level Aggregation and Recursive Alignment Architecture for
  Efficient Parallel Inference Segmentation Network
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network
Yanhua Zhang
Ke Zhang
Jingyu Wang
Yulin Wu
Wuwei Wang
28
0
0
03 Feb 2024
Robust Multi-Task Learning with Excess Risks
Robust Multi-Task Learning with Excess Risks
Yifei He
Shiji Zhou
Guojun Zhang
Hyokun Yun
Yi Tian Xu
Belinda Zeng
Trishul M. Chilimbi
Han Zhao
53
7
0
03 Feb 2024
UniVIE: A Unified Label Space Approach to Visual Information Extraction
  from Form-like Documents
UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-like Documents
Kai Hu
Jiawei Wang
Weihong Lin
Zhuoyao Zhong
Lei-huan Sun
Qiang Huo
27
1
0
17 Jan 2024
Exploring Self- and Cross-Triplet Correlations for Human-Object
  Interaction Detection
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
Weibo Jiang
Weihong Ren
Jiandong Tian
Liangqiong Qu
Zhiyong Wang
Honghai Liu
22
4
0
11 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining
  Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Haoyi Xiong
Xuhong Li
Xiaofei Zhang
Jiamin Chen
Xinhao Sun
Yuchen Li
Zeyi Sun
Mengnan Du
XAI
35
8
0
09 Jan 2024
Distribution-aware Interactive Attention Network and Large-scale Cloud
  Recognition Benchmark on FY-4A Satellite Image
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image
Jiaqing Zhang
Jie Lei
Weiying Xie
Kai Jiang
Mingxiang Cao
Yunsong Li
25
3
0
06 Jan 2024
Generating Enhanced Negatives for Training Language-Based Object
  Detectors
Generating Enhanced Negatives for Training Language-Based Object Detectors
Shiyu Zhao
Long Zhao
Vijay Kumar B.G
Yumin Suh
Dimitris N. Metaxas
Manmohan Chandraker
S. Schulter
ObjD
VLM
32
5
0
29 Dec 2023
FerKD: Surgical Label Adaptation for Efficient Distillation
FerKD: Surgical Label Adaptation for Efficient Distillation
Zhiqiang Shen
21
3
0
29 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
16
1
0
27 Dec 2023
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on
  Object Detection
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
21
1
0
21 Dec 2023
Bootstrap Masked Visual Modeling via Hard Patches Mining
Bootstrap Masked Visual Modeling via Hard Patches Mining
Haochen Wang
Junsong Fan
Yuxi Wang
Kaiyou Song
Tiancai Wang
Xiangyu Zhang
Zhaoxiang Zhang
34
5
0
21 Dec 2023
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote
  Sensing Visual Question Answering
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
Junjue Wang
Zhuo Zheng
Zihang Chen
A. Ma
Yanfei Zhong
15
18
0
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HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement
  Learning Agents
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents
Dániel Horváth
Jesús Bujalance Martín
Ferenc Gàbor Erdos
Z. Istenes
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OffRL
23
1
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14 Dec 2023
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained
  Locality Learning Matters in Consistency Regularization
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization
W. Pan
Zhe Xu
Jiangpeng Yan
Zihan Wu
R. Tong
Xiu Li
Jianhua Yao
ISeg
26
1
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14 Dec 2023
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time
  Semantic Segmentation
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation
Xiaojie Fang
Xingguo Song
Xiangyin Meng
Xu Fang
Sheng Jin
17
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Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater
  Detection under Varying Scenario Distributions
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions
Yifan Liu
Tiecheng Song
Chengye Xian
Ruiyuan Chen
Yi Zhao
Rui Li
Tan Guo
32
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Virtual Category Learning: A Semi-Supervised Learning Method for Dense
  Prediction with Extremely Limited Labels
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
Changrui Chen
Jungong Han
Kurt Debattista
28
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Accelerating Neural Field Training via Soft Mining
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Shakiba Kheradmand
Daniel Rebain
Gopal Sharma
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
Kwang Moo Yi
40
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Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
77
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Instance-aware 3D Semantic Segmentation powered by Shape Generators and
  Classifiers
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers
Bo Sun
Qixing Huang
Xiangru Huang
3DV
3DPC
30
0
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