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  1. A small camouflaged flap-necked chameleon hanging on a branchPromoting ecotourism brands and conservation with incredible, unscripted wildlife.In collaborati...

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    • Africam
    • Overview
    • Usage

    Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022. arXiv

    1.Clone this repo.

    2.Create and activate a virtual environment with Python >= 3.9 (or you need to do some workarounds when having a lower Python version).

    3.Install the dependencies via the command "pip install -r requirements.txt" or any other way you prefer. You should pay attention to the installation of torch due to the difference between cpu and gpu.

    4.Run the script example.py. It will perturb the image example_images/turtles/turtle_1.png and save the result perturbed images in the same folder.

  2. 3 de sept. de 2020 · 'Spot the Chameleon' Quiz Answers | Can You Spot the Chameleon? | Quiz Diva - YouTube. Beat Everything. 9.37K subscribers. 5.1K. 298K views 3 years ago. Use these answers to get a...

    • 2 min
    • 298.1K
    • Beat Everything
  3. 19 de sept. de 2020 · Computer Science > Computer Vision and Pattern Recognition. (cs) [Submitted on 19 Sep 2020 ( v1 ), last revised 18 Apr 2022 (this version, v5)] Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection.

    • Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Xuhong Ren, Wei Feng, Song Wang
    • 2020
  4. Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection Abstract: Co-salient object detection (CoSOD) has recently achieved significant progress and played a key role in retrieval-related tasks.

  5. If you like this video, express this by pressing like button. For more videos, click here to subscribe my channel https://tinyurl.com/y3sxzgonWatch this vide...

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  6. Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection. Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 2150-2159. Abstract.