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Implement a computer Vision Paper in pytorch

$30-250 USD

Cerrado
Publicado hace alrededor de 5 años

$30-250 USD

Pagado a la entrega
Surveillance videos are able to capture a variety of realistic anomalies. In this paper, we propose to learn anomalies by exploiting both normal and anomalous videos. To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled training videos, i.e. the training labels (anomalous or normal) are at videolevel instead of clip-level. In our approach, we consider normal and anomalous videos as bags and video segments as instances in multiple instance learning (MIL), and automatically learn a deep anomaly ranking model that predicts high anomaly scores for anomalous video segments. Furthermore, we introduce sparsity and temporal smoothness constraints in the ranking loss function to better localize anomaly during training. We also introduce a new large-scale first of its kind dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies such as fighting, road accident, burglary, robbery, etc. as well as normal activities. This dataset can be usedfortwotasks. First,generalanomalydetectionconsideringallanomaliesinonegroupandallnormalactivitiesin another group. Second, for recognizing each of 13 anomalous activities. Our experimental results show that our MIL method for anomaly detection achieves significant improvement on anomaly detection performance as compared to the state-of-the-art approaches. We provide the results of several recent deep learning baselines on anomalous activity recognition. The low recognition performance of these baselines reveals that our dataset is very challenging and opens more opportunities for future work. The dataset is available at: [login to view URL]
ID del proyecto: 18544010

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Proyecto remoto
Activo hace 5 años

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5 freelancers están ofertando un promedio de $265 USD por este trabajo
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I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building financial models (Stock Markets) , Image Processing and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam
$250 USD en 3 días
4,7 (104 comentarios)
7,4
7,4
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Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Computer VIsion & PyTorch Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.
$200 USD en 3 días
4,7 (40 comentarios)
6,0
6,0
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Hi, I would like to provide you ny service regarding this project. I'm very passionate about computer vision and I know this would be really interesting project for me. Please try me once and you wouldn't feel regret. Thanks
$277 USD en 15 días
5,0 (4 comentarios)
2,9
2,9
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Hi I have quite of experience working with the tensorflow , keras and Pytorch so coding part I can easily do not a problem. To be true i am also working on the similar kind of problem. I have atm surveillance videos in which i have to detect anomalies in real time. I have worked on the frame level for now. I have theoretical approach and have increased the frame level to combination few frames as moving one using conv2d LSTM layers. There is a lot to discuss hoping we can have a call and work this out.
$155 USD en 3 días
5,0 (2 comentarios)
1,6
1,6
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Hi, I have just read through the description and the abstract of the thesis on detection abnormal video clips. It's good to say I have do similar research before on video analytics, using deep learning models. Here are some of the my concerns: What is the requirement of the implementation? And of course the cost depending on the requests. ---Some options on the implementation--- 1. Data pre-processing code 2. Model training + model definition code 3. Model testing code 4. Trained model with parameters files Please leave me a message to discuss on more details, thank you.
$444 USD en 14 días
0,0 (0 comentarios)
0,0
0,0

Sobre este cliente

Bandera de HUNGARY
Debrecen, Hungary
0,0
0
Miembro desde ene 17, 2019

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