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Saribas et al.  and Huang et al.  achieved high accuracy and speed on tracking of objects in aerial videos by using correlation filters. ...arXiv:2011.09524v1 fatcat:u32znmfjrzae5dmj7rtbjqzon4
This research examines the choice of subsistence strategies and settlement pattern of the Malay community who inhabit the Saribas region. ... Despite many job opportunities in the market and the challenges they have to face, some minority of the Saribas Malay community in Betong, Sarawak is still maintaining traditional subsistence activities ... Introduction : The Saribas Malay community The Saribas state has long existed. ...doi:10.1051/shsconf/20184506001 fatcat:ing4dj5azrhfjcn73rxuwjax2m
This paper introduces a novel deep neural network tracker for robust object tracking. To this end, we employ a ranking loss which provides a fine-tuning of the target object position and returns more precise bounding boxes framing the target object. This is achieved by systematically learning to give higher scores to the candidate regions better framing the target object than the regions that frame the object with less accuracy. As a result, the risk of tracking error accumulation and driftsdoi:10.1109/iccvw.2019.00280 dblp:conf/iccvw/CevikalpSBK19 fatcat:tscwm77d2fbt3hdft7kz7yz2em
more »... largely mitigated, and the object is tracked more successfully. When the proposed network is used with a simple yet effective model update rule, our proposed tracker achieves the state-of-the-art results on all tested challenging tracking datasets. Especially, our results on the OTB (Object Tracking Benchmark) datasets are very promising. The proposed tracker outperforms both deep neural network and correlation filter based trackers, MDNet and ECO, by about 2%, which is a significant improvement over the previous state-of-the-art.
Çırpma budama yönteminde bir yıllık sürgünler üzerinde ortalama 5-8 göz bırakmak esas olsa da pratikte bu standardı yakalamak oldukça zordur (Sarıbaş ve Aslancan, 2011) . ... Çiftçi şartlarında iyi bakımlı bir gül bahçesinden ortalama susuz koşullarda 350-500 kg/da, sulu koşullarda 900-1000 kg/da verim elde edilmektir (Sarıbaş ve Aslancan, 2011) . ...doi:10.19113/sdufbed.82301 doaj:c671964f1169477a8502d6f1a0cd2617 fatcat:antixwwrbbc7dip6iuz3e7xj2e
In this paper, we propose a robust method for semisupervised training of deep neural networks for multi-label image classification. To this end, we use ramp loss, which is more robust against noisy and incomplete image labels compared to the classical hinge loss. The proposed method allows for learning from both labeled and unlabeled data in a semi-supervised learning setting. This is achieved by propagating labels from the labeled images to their unlabeled neighbors. Using a robust lossdblp:conf/cvpr/CevikalpBGS19 fatcat:fgavi3hyqvhmjc7bqs6rt7e2ce
more »... n becomes crucial here, as the initial label propagations may include many errors, which degrades the performance of non-robust loss functions. In contrast, the proposed robust ramp loss restricts extreme penalties for the samples with incorrect labels, and the label assignment improves in each iteration and contributes to the learning process. The proposed method achieves state-of-the-art results in semisupervised learning experiments on the CIFAR-10 and STL-10 datasets, and comparable results to the state-of the-art in supervised learning experiments on the NUS-WIDE and MS-COCO datasets.
Object tracking remains one of the fundamental problems of computer vision since it becomes difficult under some realistic conditions such as fast camera movement, occlusion and similar of objects to the tracked target. As a real-world application, tracking objects using cameras mounted on unmanned aerial vehicles (UAVs) has become very popular. With the increasing availability of small single board computers with high parallel processing power capabilities, tracking of objects by using onboarddoi:10.1109/cvprw.2019.00082 dblp:conf/cvpr/SaribasUBEC19 fatcat:3jkujhn6v5ez7alc4plo4pac4a
more »... computers within UAVs in real time has become feasible. Although these onboard computers allow a wide variety of computer vision methods to be executed on a UAV, there is still a need to optimize these methods for running time and power consumption. In this paper, we propose a hybrid method for a UAV to detect and track other UAVs efficiently. To detect the target UAV at the beginning of the video and in the case where the tracked UAV has been lost, we use the deep learning-based YOLOv3 and YOLOv3-Tiny models, which provide one of the best trade-offs between speed and accuracy in the literature. To track the detected UAVs in real time, a kernelized correlation filter is used. Combining these two methods provides high accuracy and speed even on onboard computers. To train the neural nets and test our method, we have collected a new dataset composed of videos of various UAVs in flight, captured from another UAV. The performance of the proposed method has been compared with other state-of-theart methods in the literature on this dataset. Additionally, we also tested the proposed trackers on aerial videos captured from UAVs. Experimental results show that the proposed hybrid trackers achieve the state-of-the-art performance on all tested datasets. The code is available at https://github.com/bdrhn9/hybrid-tracker.
YazarElif Yilmazel UcarFebruary 2019 -October 2019 316 • DOI: 10.5152/eurasianjmed.2019.071019 Eurasian J Med 2019; 51(3): 316 Ilknur Akyol Salman Abdulmecit Albayrak Ismail Altintop Huseyin Arikan Hasan ... Fatih Oner Fikriye Ozatik Abdulkadir Ozgur Ozhan Pazarci Gokhan Pekel Ipek Percinel Necip Pirincci Beyzagul Polat Gokhan Polat Edoardo Raposio Xavier Salas-Puig Ana Santos Sanem Saribas ...doi:10.5152/eurasianjmed.2019.071019 pmid:31692771 pmcid:PMC6812925 fatcat:3sffwgtyabcshknxpbuibti6ue
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Sankaranarayanan, Aswin C. 1136, Sankaranarayanan, Karthik Sankarapandian, Sivaramakrishnan Saragadam, Vishwanath Saribas, Hasan Satoh, Yutaka Sattarzadeh, Sam Saunier, Nicolas Savakis, Andreas Sayyad, ... , Francesco Russell, Bryan Ryu, Kanghyun Saadatnejad, Saeed Saadeldin, Mohamed Saber, Eli Sadeghi, Mostafa Saenko, Kate Sagar, Abhinav Saha, Sudipan Sahbi, Hichem Sahota, Harvir Saito, Kuniaki Sajid, Hasan ...doi:10.1109/iccvw54120.2021.00472 fatcat:zsryeoqqujak5b5gu6lp2otvgq
Mostura (Serpil), Sarıbaş (Mustafa), Sinekli (Ali); Semiz (Mustafa), Tazı (Cemil): İnce bacaklı, küçük başlı olmasına bağlı verilmiş bir lakaptır. ... ), Nahırcı (İzzet), Öküz (Ahmet), Pasaklı (Seval), Paşa (Cemal), Peltek (Kemal), Pire (Mahmut), Pissik (Abdi), Pişkin (Ali), Porsuk (Muzaffer), Sağır (Nafi), Sakar (Mustafa), Sarı (Tahsin), Sarıbaş (Mustafa ...doi:10.29000/rumelide.824546 fatcat:5nineopfvnbtrjrh3uddywy67u
Harran Üniversitesi Veteriner Fakültesi Dergisi
Poisoning of sheep by Babrik Plant (Cionura erecta (L.) Griseb.) in Şanlıurfa / Turkey
Poisoning of sheep by Babrik Plant (Cionura erecta (L.) Griseb.) in Şanlıurfa / Turkey
When we arrived at the area after a phone call, we saw dead sheep (Figure 2 ) with signs of enterotoxemia in the herd of about 300 heads (İvesi Sarıbaş breed). ... Yazar Katkıları Fikir/Kavram: Hasan Akan, Kasım Takım Tasarım: Hikmet Dinç, Kasım Takım, Hasan Akan Denetleme/Danışmanlık: Abdullah Gökmen, Kasım Takım Veri Toplama ve/veya İşleme: Hasan Akan, Kasım Takım ... , Abdullah Gökmen Analiz ve/veya Yorum: Hasan Akan, Kasım Takım Kaynak Taraması: Hikmet Dinç, Kasım Takım Makalenin Yazımı: Hikmet Dinç, Hasan Akan Eleştirel İnceleme: Hasan Akan, Kasım Takım, Hikmet Dinç ...doi:10.31196/huvfd.1077126 fatcat:fpu247byjfbmhcvsb2ka7flz3m
Int J Innov Res Comput Commun Eng 5(2), 2017  Kumar DA, Ummal Sariba Begum T, A novel design of an electronic voting system using a fingerprint. ... Hasan SM, Anis AM, Rahman H, Alam JS, Nabil SI, Khalilur Rhaman M Development of electronic voting machine with the inclusion of near field communication ID cards and biometric fingerprint identifier. ...doi:10.21276/ijircst.2020.8.3.1 fatcat:ebpp6qq7hfabfof6t2lrfx2sv4
Oils Geotechnical Properties of Oil-Contaminated Kuwaiti Sand, Hasan A. Al-Sanad, Walid K. Eid and Nabil F. Ismael, GT May 95, p407-412. ... Optimal design Optimization and Sensitivity of Retaining Structures, Askin Saribas and Fuat Erbatur, GT Aug. 96, p649- 656. ...
Hasan Kadri Dirim (89-100) Tebabette Teleologi II Dr. Şükrü Yusuf Sarıbaş (100-102) Böbrek Kifayetsizliği Halinin Kimyevî İşaretleri Asist. ... Hasan Sarıbaş (95-96) İki Hâd Bir Müzmin Lösemi Lenfoid Vak'aları Münasebetiyle Dr. Remzi Kocagil (96-100) İki Fiévre Boutonneuse Vak'ası ve Rickettsia Hastalıklarına Medhal Dr. ...doi:10.21673/aktbd.81084 fatcat:gjmqed5gx5hibalkvomtltzwpi
Şükrü Yusuf Sarıbaş Prof.Dr. Nüzhet Atav Prof.Dr. Kamile Aygün Prof.Dr. Muhittin Dilemre Prof.Dr. ... Hasan Ali Yücel kısa bir konuşma yapmıştır. ...doi:10.1501/tipfak_0000000487 fatcat:hhi65iclgfar7g5alr5ur7k7ie
Daha sonra sırasıyla; Rafet Berber (1971 -1975 ), Cavit Doğru (1975 -1980 ), Galip Yüksel (1980 -1986 ), Mehmet Çakırgöz (1986 ), Hasan Sarıbaş (1986 -1987 ), Muhammet Aksın (1987 -1988 , Ali Altan Bulu ...doi:10.17094/avbd.63411 fatcat:3xrd6zajvrhezpyebh3xrsriwe
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