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Visual Object Tracking: An Evaluation Perspective

Posted By: hill0

Date: 2 Jul 2025 15:50:34

Computer Vision

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Deep Learning and Computer Vision in Remote Sensing (Repost)

Posted By: AvaxGenius

Date: 24 Jun 2025 23:39:11

Deep Learning and Computer Vision in Remote Sensing (Repost)

Deep Learning and Computer Vision in Remote Sensing by Fahimeh Farahnakian, Jukka Heikkonen and Pouya Jafarzadeh
English | PDF | 2023 | 574 Pages | ISBN : 3036563687 | 174.5 MB

In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet.

Science Deep Learning Computer Vision Remote Sensing

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Frontiers of Computer Vision: 30th International Workshop, IW-FCV 2024

Posted By: readerXXI

Date: 23 Jun 2025 10:49:16

Computer Vision

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Computer Vision – ECCV 2020 (Repost)

Posted By: AvaxGenius

Date: 20 Jun 2025 12:17:14

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I by Andrea Vedaldi
English | PDF | 2020 | 856 Pages | ISBN : 3030584518 | 178.4 MB

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Computer Vision on the Raspberry Pi 4

Posted By: lucky_aut

Date: 20 Jun 2025 09:17:09

Computer Vision on the Raspberry Pi 4
Duration: 1h 43m 50s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 285.70 MB
Genre: eLearning | Language: English

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Computer Vision – ACCV 2024 Workshops, Part II

Posted By: readerXXI

Date: 18 Jun 2025 15:05:38

Computer Vision

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Computer Vision – ACCV 2024 Workshops, Part II

Posted By: readerXXI

Date: 18 Jun 2025 15:01:12

Computer Vision

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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 2

Posted By: hill0

Date: 17 Jun 2025 17:10:10

DL Computer Vision

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Deep Learning: Image Recognition

Posted By: lucky_aut

Date: 17 Jun 2025 05:12:21

Deep Learning: Image Recognition
Duration: 2h 14m 50s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 408 MB
Genre: eLearning | Language: English

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Hands-On AI: Image Processing with Python

Posted By: lucky_aut

Date: 16 Jun 2025 15:20:06

Hands-On AI: Image Processing with Python
Released: 06/2025
Duration: 2h 10m 47s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 356 MB
Genre: eLearning | Language: English

Linkedin Image Processing Python (Programming Language) Computer Vision More English Courses

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Innovations in Computational Intelligence and Computer Vision: Proceedings of ICICV 2022 (Repost)

Posted By: AvaxGenius

Date: 11 Jun 2025 19:08:06

Innovations in Computational Intelligence and Computer Vision: Proceedings of ICICV 2022 (Repost)

Innovations in Computational Intelligence and Computer Vision: Proceedings of ICICV 2022 by Satyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R. S. Tavares
English | PDF EPUB (True) | 2023 | 764 Pages | ISBN : 9819926017 | 154.9 MB

This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2022),” hosted by Manipal University Jaipur, Rajasthan, India, on 24–25 November 2022. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.

Science Computational Intelligence Computer Vision

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Deep Learning and Computer Vision: Object Detection with PyTorch

Posted By: lucky_aut

Date: 9 Jun 2025 15:28:00

Deep Learning and Computer Vision: Object Detection with PyTorch
Released: 09/06/2025
Duration: 59m 25s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 128 MB
Genre: eLearning | Language: English

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Computer Vision – ECCV 2020 (Repost)

Posted By: AvaxGenius

Date: 9 Jun 2025 14:34:20

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII by Andrea Vedaldi
English | PDF | 2020 | 826 Pages | ISBN : 3030585417 | 174.2 MB

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic.
The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Development Computer Vision Mathematics Neural Network

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Artificial Intelligence Technologies for Engineering Applications

Posted By: Free butterfly

Date: 5 Jun 2025 11:02:21

English AI Engineering Technology Development Machine Learning Computer Vision Optimization IT Free butterfly

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Computer Vision: A Reference Guide, Second Edition (Repost)

Posted By: AvaxGenius

Date: 4 Jun 2025 23:58:25

Computer Vision: A Reference Guide, Second Edition (Repost)

This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.

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