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Scale-Transferrable Object Detection

Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Scale problem lies in the heart of object detection. In this work, we develop a novel Scale-Transferrable Detection Network (STDN) for detecting multi-scale objects in images.  ...  named as scale-transfer layer/module in this work) to explicitly explore the interscale consistency nature across multiple detection scales.  ...  Scale-Transferrable Detection Network (STDN) for detecting multi-scale objects in images. We use DenseNet-169 [14] as the base network.  ... 
doi:10.1109/cvpr.2018.00062 dblp:conf/cvpr/ZhouNGHX18 fatcat:mwlmbsuepjcpfjt3selgd7o7km

Deep filter banks for texture recognition and segmentation

Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
First, pooling is orderless and multi-scale, hence suitable for textures. Second, any image size can be processed by convolutional layers, avoiding costly resizing operations.  ...  A third and more subtle drawback (III) is that deeper layers may be more domain-specific and therefore potentially less transferrable than shallower layers.  ...  First, pooling is orderless and multi-scale, hence suitable for textures. Second, any image size can be processed by convolutional layers, avoiding costly resizing operations.  ... 
doi:10.1109/cvpr.2015.7299007 dblp:conf/cvpr/CimpoiMV15 fatcat:za3xei5gw5bghfaee6zpoei6j4

CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search [article]

Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
2020 arXiv   pre-print
This is the first work to our knowledge that proposes an efficient transferrable NAS solution while maintaining robustness across various settings.  ...  These challenges preclude their applicability, and motivate our proposal of CATCH, a novel Context-bAsed meTa reinforcement learning (RL) algorithm for transferrable arChitecture searcH.  ...  As a task-agnostic transferrable NAS framework, CATCH possesses great potentials in scaling NAS to large datasets and various domains efficiently.  ... 
arXiv:2007.09380v3 fatcat:3mqj2rjlgvaprpxr6knxlx5x44

Large Scale Open-Set Deep Logo Detection [article]

Muhammet Bastan, Hao-Yu Wu, Tian Cao, Bhargava Kota, Mehmet Tek
2022 arXiv   pre-print
We achieve this using a two-stage approach: (1) Generic logo detection to detect candidate logo regions in an image. (2) Logo matching for matching the detected logo regions to a set of canonical logo  ...  We present an open-set logo detection (OSLD) system, which can detect (localize and recognize) any number of unseen logo classes without re-training; it only requires a small set of canonical logo images  ...  Related Work Logo detection is a special case of object detection, which comprises object localization and recognition.  ... 
arXiv:1911.07440v4 fatcat:bdyo3a5k7fcgjon6bl3wpxujq4

Can Semantic Labels Assist Self-Supervised Visual Representation Learning? [article]

Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li, Qi Tian
2020 arXiv   pre-print
ImageNet, some self-supervised algorithms reported higher transfer learning performance compared to fully-supervised methods, seeming to deliver the message that human labels hardly contribute to learning transferrable  ...  COCO is the most popular large-scale detection and segmentation dataset, which includes multiple tasks, e.g., object detection, instance segmentation, keypoint detection, etc.  ...  Therefore, while detecting the large objects, the requirement of the semantic discrimination ability is relatively weaker than that while detecting the small and middle objects.  ... 
arXiv:2011.08621v1 fatcat:m6z3oqezyjanljhvon7dwog62e

Application of the Hybrid Capture 2 assay to squamous cell carcinomas of the head and neck

Justin A. Bishop, Zahra Maleki, Alexandra Valsamakis, Takenori Ogawa, Xiaofei Chang, Sara I. Pai, William H. Westra
2011 Cancer Cytopathology  
Conclusions-The hybrid capture 2 strategy, already widely used for the detection of high risk HPV in cervical brushes, is readily transferrable to HNSCCs.  ...  Accordingly, there is an escalating demand for an optimal detection strategy that is sensitive and specific, transferrable to the diagnostic laboratory, standardized across laboratories, cost effective  ...  The development and implementation of HPV detection strategies that are transferrable to clinical cytologic specimens is compelled by factors that restrict tissue access for HPV testing.  ... 
doi:10.1002/cncy.20175 pmid:21751428 pmcid:PMC3197962 fatcat:24x2txqcubbc3gqhod5lss6rzi

Winter: From the Journal of Henry D. Thoreau. Ed. by H G. O. Blake. Boston and New York, Houghton, Mifflin, & Co. 12

1887 Science  
No trace of fossils can be detected, either by inspection or in microscopic sections.  ...  Bowditch, who presented the report of the committee on thought transferrence. " Among the conditions possibly favorable to thought transferrence, supposing it to be a genuine phenomenon, the effect of  ... 
doi:10.1126/science.ns-10.253.286 fatcat:zxo7xanpknh5jnlqtfa4uskmsy

Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network

Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Yi Zhao, Runmin Dong, Le Yu
2020 ISPRS journal of photogrammetry and remote sensing (Print)  
In this paper, we propose a novel domain adaptive oil palm tree detection method, i.e., a Multi-level Attention Domain Adaptation Network (MADAN) to reap cross-regional oil palm tree counting and detection  ...  We conducted comprehensive ablation experiments using three different satellite images of large-scale oil palm plantation area with six transfer tasks.  ...  IOU is a popular evaluation metric used for measuring the accuracy of the detection results, and it is also used for merging detected objects in many end-to-end object detection algorithms.  ... 
doi:10.1016/j.isprsjprs.2020.07.002 fatcat:crduv7xd3zetxohsleeh3twnhm

Anti-Mullerian Hormone and Follicle Counts as Predictors of Superovulatory Response and Embryo Production in Beef Cattle

Keith Center, Dave Dixon, Charles Looney, Rick Rorie
2018 Advances in Reproductive Sciences  
Donor body condition score (BCS; 1 to 9 scale) [11] ranged from 4 to 8, and averaged 6.0.  ...  The assay failed to detect AMH in 2 serum samples. Therefore, 77 or 79 embryo donors were included inTable 1, with embryos collected from 20 donors twice (97 total embryo collections).  ... 
doi:10.4236/arsci.2018.61003 fatcat:mrycmlyxkza2th6rgzplsqmnem

Ship Detection Using Transfer Learned Single Shot Multi Box Detector

Gu-Hong Nie, Peng Zhang, Xin Niu, Yong Dou, Fei Xia, L. Long, Y. Li, X. Li, Y. Dai, H. Yang
2017 ITM Web of Conferences  
To this end, a state-of-the-art object detection model pre-trained from a large number of natural images was transfer learned for ship detection with limited labeled satellite images.  ...  Ship detection in satellite images is a challenging task. In this paper, we introduce a transfer learned Single Shot MultiBox Detector (SSD) for ship detection.  ...  On the other side, machine learning feature makes a great profit for object detection.  ... 
doi:10.1051/itmconf/20171201006 fatcat:rb2sh7hrsbhgpa5a6y72ys2dme

Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets

Erdal Tasci, Ying Zhuge, Kevin Camphausen, Andra V. Krauze
2022 Cancers  
Many machine learning models have been developed to support precision/personalized medicine initiatives such as computer-aided detection, diagnosis, prognosis, and treatment planning by using large-scale  ...  Focal loss is used for semantic segmentation and medical object detection [48] .  ...  detection Table 1 . 1 Cont.  ... 
doi:10.3390/cancers14122897 pmid:35740563 pmcid:PMC9221277 fatcat:nx7fizcewfazjomw6jdsrajiby

Real-time anxiety prediction in virtual reality therapy

Deniz Mevlevioğlu, Sabin Tabirca, David Murphy
2022 Proceedings of the 13th ACM Multimedia Systems Conference  
Lastly, Virtual Reality strives for immersion, and many systems that use objective measures such as on-body sensors to detect anxiety can make it hard for the user to immerse themselves into the virtual  ...  First of all, defining anxiety in a useful context and getting objective measurements to predict it can be difficult due to different interpretations of the word.  ...  Reference Features AIMS & OBJECTIVES This study aims to make a system that will be able to reliably, accurately and objectively predict the user's current anxiety in real-time in a VR environment.  ... 
doi:10.1145/3524273.3533926 fatcat:b7fxbaas5fbsbjp6ulwlai47oq

Page 1307 of Psychological Abstracts Vol. 41, Issue 10 [page]

1967 Psychological Abstracts  
These affects were shown to be conditionable to the syllable 13028-13036 xeh, to be transferrable to a wooden block named xeh, and to be able to modify Ss nonverbal behavior toward the labeled object,  ...  —Neutral syllables prerated on Osgood’s semantic differential scale were presented as names of blocks.  ... 

NOTES AND NEWS

1887 Science  
No trace of fossils can be detected, either by inspection 287 or in microscopic sections.  ...  Bowditch, who presented the report of the committee on thought transferrence.  ... 
doi:10.1126/science.ns-10.253.286-b fatcat:cnsx6dfzyfdo5noub53of5p2ha

Book of abstracts of the Scientific Colloquium 'Perspectives on the Use of Remote Sensing in Plant Health' [article]

Paul Brown, Angela Lausch, Pablo Zarco-Tejada, Anna Maria D'Onghia, Andy Nelson, François Christiaens
2018 Zenodo  
Too often pests are already widespread before their presence is detected, our contingency plans cannot cope with the scale of action needed and the newly introduced pest cannot be eradicated or contained  ...  Our contingency plans must deal with outbreaks of the size likely to be detected, and our surveillance must detect outbreaks before they outgrow our contingency plans.  ...  These images, via segmentation and automatic object-based image analysis, enable early detection of diseases at the tree scale.  ... 
doi:10.5281/zenodo.1285201 fatcat:inmeprrqmrf5jcubpz3q2e2s4u
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