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A Dual Weighting Label Assignment Scheme for Object Detection [article]

Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang
2022 arXiv   pre-print
Label assignment (LA), which aims to assign each training sample a positive (pos) and a negative (neg) loss weight, plays an important role in object detection.  ...  In this paper, we explore a new weighting paradigm, termed dual weighting (DW), to specify pos and neg weights separately.  ...  Conclusion We proposed an adaptive label assignment scheme, named dual weighting (DW), to train accurate dense object detectors.  ... 
arXiv:2203.09730v1 fatcat:ofolrqqqpzedjdv2kpjtcb73ru

Twenty-Two New Approximate Proof Labeling Schemes

Yuval Emek, Yuval Gil, Hagit Attiya
2020 International Symposium on Distributed Computing  
It is composed of a centralized prover, whose role is to generate a proof for yes-instances in the form of an assignment of labels to the nodes, and a distributed verifier, whose role is to verify the  ...  Introduced by Korman, Kutten, and Peleg (Distributed Computing 2005), a proof labeling scheme (PLS) is a system dedicated to verifying that a given configuration graph satisfies a certain property.  ...  Let r be the range of possible values assigned by the prover to a dual variable y i . We aim for schemes that minimize r.  ... 
doi:10.4230/lipics.disc.2020.20 dblp:conf/wdag/EmekG20 fatcat:5xwnospylrfxzknhjhkzevhgdy

Semantic SLAM with Autonomous Object-Level Data Association [article]

Zhentian Qian, Kartik Patath, Jie Fu, Jing Xiao
2020 arXiv   pre-print
With object-level data association solved, we develop a quadratic-programming-based semantic object initialization scheme using dual quadric and introduce additional constraints to improve the success  ...  In this paper, we propose a novel object-level data association algorithm based on bag of words algorithm, formulated as a maximum weighted bipartite matching problem.  ...  Each map object τ j contains its class label. For a semantic measurement z k = {b k , c k , s k }, only objects with class label c k are considered.  ... 
arXiv:2011.10625v1 fatcat:5nc545pv4rbejfergudq7jxlsa

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria

Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
2018 IEEE Transactions on Neural Networks and Learning Systems  
The proposed process can be compatible with mini-batch based training (i.e., using a batch of unlabeled or partially labeled data as a one-time input) for object detection.  ...  Then, our ASM framework is used to select a number of samples and assign pseudo-labels to them.  ...  The weighting scheme enables training on easy to complex samples by assigning higher weights to samples with lower training losses.  ... 
doi:10.1109/tnnls.2018.2852783 pmid:30059324 fatcat:cezwtcpvibekrpyzohxjzanokm

Twenty-Two New Approximate Proof Labeling Schemes (Full Version) [article]

Yuval Emek, Yuval Gil
2020 arXiv   pre-print
It is composed of a centralized prover, whose role is to generate a proof for yes-instances in the form of an assignment of labels to the nodes, and a distributed verifier, whose role is to verify the  ...  To overcome lower bounds on the label size of PLSs for certain graph properties, Censor-Hillel, Paz, and Perry (SIROCCO 2017) introduced the notion of an approximate proof labeling scheme (APLS) that allows  ...  Let r be the range of possible values assigned by the prover to a dual variable y i . We aim for schemes that minimize r.  ... 
arXiv:2007.14307v3 fatcat:6oaexrumdjdsrgbae7s5ugmf7i

Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria [article]

Keze Wang and Liang Lin and Xiaopeng Yan and Ziliang Chen and Dongyu Zhang and Lei Zhang
2019 arXiv   pre-print
The proposed process can be compatible with mini-batch based training (i.e., using a batch of unlabeled or partially labeled data as a one-time input) for object detection.  ...  Specifically, our ASM framework involves a switchable sample selection mechanism for determining whether an unlabeled sample should be manually annotated via AL or automatically pseudo-labeled via a novel  ...  The weighting scheme enables training on easy to complex samples by assigning higher weights to samples with lower training losses.  ... 
arXiv:1807.00147v3 fatcat:hp6xlxwanncx5p4jf5v2dxwnii

The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation [article]

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng
2020 arXiv   pre-print
Our analysis provides useful insights for solving long-tail instance detection and segmentation problems, and the straightforward SimCal method can serve as a simple but strong baseline.  ...  Most existing object instance detection and segmentation models only work well on fairly balanced benchmarks where per-category training sample numbers are comparable, such as COCO.  ...  Focal Loss [30] Focal loss can be regarded as loss re-weighting that adaptively assigns a weight to each sample by the prediction.  ... 
arXiv:2007.11978v5 fatcat:gigp7bmq3rcfjport7b67xtc4y

Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving

Keke Geng, Ge Dong, Guodong Yin, Jingyu Hu
2020 Remote Sensing  
Due to the sparseness of the LIDAR point cloud data, we propose a weight assignment function that assigns different weight coefficients to different feature pyramid convolutional layers for the LIDAR sub-network  ...  This work has great significance for exploring the best feature fusion scheme of a multi-modal neural network.  ...  We also would like to offer our sincere thanks to those who participated in the data processing and provided constructive comments for this study.  ... 
doi:10.3390/rs12203274 fatcat:bcp4vmw7frefriyltpw3euwa7a

Architecture Design and VLSI Implementation of 3D Hand Gesture Recognition System

Tsung-Han Tsai, Yih-Ru Tsai
2021 Sensors  
Most hand detection methods adopt a skin filter or motion filter for pre-processing. However, in a noisy environment, it is not easy to correctly extract interesting objects.  ...  In this paper, a VLSI design with dual-cameras has been proposed to construct a depth map with a stereo matching algorithm and recognize hand gestures.  ...  For the labeling procedure, the four connected pixels label scheme is applied to perform label assignment. The equation for the labeling scheme is listed in (9) .  ... 
doi:10.3390/s21206724 pmid:34695936 fatcat:beulgwdbijb5jb3pcxubsnvriq

Image parsing with graph grammars and Markov Random Fields applied to facade analysis

Mateusz Kozinski, Renaud Marlet
2014 IEEE Winter Conference on Applications of Computer Vision  
Then, for a given structure, the positions of the parts are inferred using standard MAP-MRF techniques.  ...  To address the problem we propose to model and optimize the structure of the object and position of its parts separately. We encode the possible object structures in a graph grammar.  ...  Acknowledgments This work has been carried out in IMAGINE, a joint research project betweenÉcole des Ponts ParisTech (ENPC) and the Scientific and Technical Centre for Building (CSTB).  ... 
doi:10.1109/wacv.2014.6836030 dblp:conf/wacv/KozinskiM14 fatcat:www4hprxhjbntn7bmdbvymwcna

Pixel-Based Machine Learning in Medical Imaging

Kenji Suzuki
2012 International Journal of Biomedical Imaging  
Because the PML can avoid errors caused by inaccurate feature calculation and segmentation which often occur for subtle or complex objects, the performance of the PML can potentially be higher for such  ...  accurately by a simple equation; thus, medical pattern recognition essentially require "learning from examples."  ...  For distinguishing an ROI containing a lesion from an ROI containing a non-lesion, a class label (e.g., 1 for a lesion, 0 for a non-lesion) is assigned to an output unit.  ... 
doi:10.1155/2012/792079 pmid:22481907 pmcid:PMC3299341 fatcat:3n5mzkiupraovbohn2vqf2inaq

Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis [chapter]

Kenji Suzuki
2011 Artificial Neural Networks - Methodological Advances and Biomedical Applications  
Lanzl for improving the chapter, to members in the Suzuki Laboratory in the Department of Radiology at the University of Chicago for their valuable contributions, and to my wife for editing this chapter  ...  For distinguishing an ROI containing a lesion from an ROI containing a non-lesion, a class label (e.g., 1 for a lesion, 0 for a non-lesion) is assigned to an output unit.  ...  A class label of 1 is assigned to the corresponding output unit when a training sample belongs to that class, and 0 is assigned to the other output units.  ... 
doi:10.5772/16084 fatcat:gzxeht7lvzcq5ohyayyntyy5rq

Surfel Based Geometry Reconstruction [article]

Vedrana Andersen, Henrik Aanæs, Jacob Andreas Bærentzen
2010 Computer Graphics and Visual Computing  
We propose a method for retrieving a piecewise smooth surface from noisy data.  ...  Our method is based on a Markov Random Field (MRF) formulation of a surface prior, with the surface represented as a collection of small planar patches, the surfels, associated with each data point.  ...  The labels are the values which we wish to assign (e.g. pixel color, vertex position, surfel parameters), and it is a central idea in MRF theory that the label at a given site must only depend on the labels  ... 
doi:10.2312/localchapterevents/tpcg/tpcg10/039-044 dblp:conf/tpcg/AndersenAB10 fatcat:rbqjert5vndqdjydb7ol6wyapm

Easy Samples First

Lu Jiang, Deyu Meng, Teruko Mitamura, Alexander G. Hauptmann
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
It on one hand offers a unified framework providing theoretical justifications for current reranking methods, and on the other hand generates a spectrum of new reranking schemes.  ...  SPaR is special in that it has a concise mathematical objective to optimize and useful properties that can be theoretically verified.  ...  The following two predefined schemes are also included for comparison: 1) Interpolation is a commonly used weighting scheme which assigns weights linearly to a sample' rank order [9, 33] : vi = 1 m m  ... 
doi:10.1145/2647868.2654918 dblp:conf/mm/JiangMMH14 fatcat:smdudxufnndfle6rppwscydvau

Dual Two-Dimensional Fuzzy Class Preserving Projections for Facial Expression Recognition

R. ZHI, Q. RUAN, J. WU
2008 IEICE transactions on information and systems  
Ruicong ZHI †a) , Qiuqi RUAN †b) , Nonmembers, and Jiying WU †c) , Student Member SUMMARY This paper proposes a novel algorithm for image feature extraction-the dual two-dimensional fuzzy class preserving  ...  The main advantages of (2D) 2 FCPP over two-dimensional locality preserving projections (2DLPP) are: (1) utilizing the fuzzy assignation mechanisms to construct the weight matrix, which can improve the  ...  The authors would like to thank the anonymous reviewers for their constructive advice.  ... 
doi:10.1093/ietisy/e91-d.12.2880 fatcat:ogytqxiu7fahdhu4xzvck5wj7y
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