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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
ArXiv (abs)PDFHTML

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

50 / 936 papers shown
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
235
4
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
274
4
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
243
13
0
16 Feb 2024
Understanding the Training Speedup from Sampling with Approximate Losses
Understanding the Training Speedup from Sampling with Approximate LossesInternational Conference on Machine Learning (ICML), 2024
Rudrajit Das
Xi Chen
Bertram Ieong
Parikshit Bansal
Sujay Sanghavi
197
4
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
472
10
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 DetectionEuropean Conference on Computer Vision (ECCV), 2024
Feng Liu
Tengteng Huang
Qianjing Zhang
Haotian Yao
Chi Zhang
Fang Wan
QiXiang Ye
Yanzhao Zhou
264
34
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
AI4TSSSeg
359
13
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
329
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 Chilimbi
Han Zhao
326
21
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 DocumentsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2024
Kai Hu
Jiawei Wang
Weihong Lin
Zhuoyao Zhong
Lei-huan Sun
Qiang Huo
220
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 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Weibo Jiang
Weihong Ren
Jiandong Tian
Liangqiong Qu
Zhiyong Wang
Honghai Liu
217
8
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
Jundong Li
XAI
375
13
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
164
3
0
06 Jan 2024
Generating Enhanced Negatives for Training Language-Based Object
  Detectors
Generating Enhanced Negatives for Training Language-Based Object DetectorsComputer Vision and Pattern Recognition (CVPR), 2023
Shiyu Zhao
Long Zhao
Vijay Kumar B.G
Yumin Suh
Dimitris N. Metaxas
Manmohan Chandraker
S. Schulter
ObjDVLM
471
13
0
29 Dec 2023
FerKD: Surgical Label Adaptation for Efficient Distillation
FerKD: Surgical Label Adaptation for Efficient DistillationIEEE International Conference on Computer Vision (ICCV), 2023
Zhiqiang Shen
275
4
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
318
2
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
221
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
240
6
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
182
47
0
19 Dec 2023
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement
  Learning Agents
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning AgentsIEEE Access (IEEE Access), 2023
Dániel Horváth
Jesús Bujalance Martín
Ferenc Gàbor Erdos
Z. Istenes
Fabien Moutarde
OffRL
220
3
0
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
Raymond Kai-Yu Tong
Xiu Li
Jianhua Yao
ISeg
176
6
0
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
204
1
0
12 Dec 2023
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
399
3
0
11 Dec 2023
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 LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xin Sun
Jungong Han
Kurt Debattista
317
58
0
02 Dec 2023
Accelerating Neural Field Training via Soft Mining
Accelerating Neural Field Training via Soft MiningComputer Vision and Pattern Recognition (CVPR), 2023
Shakiba Kheradmand
Daniel Rebain
Gopal Sharma
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
Kwang Moo Yi
223
12
0
29 Nov 2023
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
440
5
0
23 Nov 2023
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
3DV3DPC
209
0
0
21 Nov 2023
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
152
7
0
20 Nov 2023
Cup Curriculum: Curriculum Learning on Model Capacity
Cup Curriculum: Curriculum Learning on Model Capacity
Luca Scharr
Vanessa Toborek
94
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
186
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 NetworksNeural Information Processing Systems (NeurIPS), 2023
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
464
22
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 PlaceConference on Robot Learning (CoRL), 2023
Wentao Yuan
Adithyavairavan Murali
Arsalan Mousavian
Dieter Fox
297
36
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 SegmentationACM Cloud and Autonomic Computing Conference (CAC), 2023
Liang Liao
Liang Wan
Ming-Je Liu
Shusheng Li
226
5
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 FirstNeural Information Processing Systems (NeurIPS), 2023
Zhengwu Zhang
Junxiang Wang
Bo Pan
214
23
0
28 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger
  Segmentation Models
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2023
Lihe Yang
Xiaohan Li
Bingyi Kang
Yinghuan Shi
Hengshuang Zhao
203
71
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
181
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
246
22
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
281
9
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 systemsItalian National Conference on Sensors (INS), 2023
Irene Cortés
Jorge Beltrán
A. D. L. Escalera
Fernando García
3DPC
232
0
0
09 Oct 2023
Low-Resolution Self-Attention for Semantic Segmentation
Low-Resolution Self-Attention for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yu-Huan Wu
Shi-Chen Zhang
Yun-Hai Liu
Le Zhang
Xin Zhan
Daquan Zhou
Jiashi Feng
Ming-Ming Cheng
Liangli Zhen
ViT
500
12
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
228
18
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 SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yahia Dalbah
Jean Lahoud
Hisham Cholakkal
261
16
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
Jing Liu
223
9
0
29 Sep 2023
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain
  Adaptation
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Yizhe Xiong
Hui Chen
Zijia Lin
Sicheng Zhao
Guiguang Ding
340
10
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
299
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 SegmentationPattern Recognition (Pattern Recogn.), 2023
P. Li
Yu Zhang
L. Yuan
Huaxin Xiao
Binbin Lin
Xianghua Xu
VOS
209
19
0
21 Sep 2023
Dual Student Networks for Data-Free Model Stealing
Dual Student Networks for Data-Free Model StealingInternational Conference on Learning Representations (ICLR), 2023
James Beetham
Navid Kardan
Lin Wang
M. Shah
263
26
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
235
7
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 CalibrationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Rachneet Sachdeva
Martin Tutek
Iryna Gurevych
OODD
335
16
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 LearningIEEE International Conference on Computer Vision (ICCV), 2023
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
192
10
0
07 Sep 2023
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