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  1. benchmarks.elsa-ai.eu

    Jul 18, 202303/31/2024 Track 2: Evaluation opened on ELSA Benchmark; 01/02/2024 Release of Diffusion-generated Deepfake Detection dataset (D3) 10/02/2023 Workshop and Challenge on DeepFake Analysis and Detection (ICCV) 09/18/2023 Submissions selection for ICCV workshop (DFAD2023) 07/18/2023 Track 1: release of the first version of the dataset.
    • Participation Instructions

      03/31/2024 Track 2: Evaluation opened on ELSA Benchmark; 01/02/2024 Release of Diffusion-generated Deepfake Detection dataset (D3) 10/02/2023 Workshop and Challenge on DeepFake Analysis and Detection (ICCV) 09/18/2023 Submissions selection for ICCV workshop (DFAD2023) 07/18/2023 Track 1: release of the first version of the dataset.

  2. benchmarks.elsa-ai.eu

    benchmarks.elsa-ai.eu

    https://benchmarks.elsa-ai.eu

    The platform provides a single access point to all ELSA Use Case related resources (data, metrics, benchmarks) and allows participation to the ELSA competitions. Please browse the Use Cases, and find out about related events (competitions, workshops, tutorials) running. Each competition will host one or more scientific competitions over the ...
  3. huggingface.co

    Note Test Dataset (D3) for ELSA Benchmark Track 2 (CVPR Workshop 2024) elsaEU/ELSA1M_track1. Viewer • Updated Aug 27, 2023 • 12.2k • 2.44k • 3 Note Dataset for ELSA Benchmark Track 1 (ICCV Workshop 2023) Upvote -Share collection View history Collection guide Browse collections ...
  4. benchmarks.elsa-ai.eu

    03/31/2024 Track 2: Evaluation opened on ELSA Benchmark; 01/02/2024 Release of Diffusion-generated Deepfake Detection dataset (D3) 10/02/2023 Workshop and Challenge on DeepFake Analysis and Detection (ICCV) 09/18/2023 Submissions selection for ICCV workshop (DFAD2023) 07/18/2023 Track 1: release of the first version of the dataset.
  5. aimagelab.ing.unimore.it

    ELSA Benchmark Media Analytics Overview. The objective of the Multimedia use case is to develop effective solutions for detecting and mitigating the spread of deep fake images in multimedia content. Deep fake images, which are highly realistic and deceptive manipulations, pose significant risks to privacy, security, and trust in digital media.
  6. aimagelab.ing.unimore.it

    ELSA D3 Benchmark - New training dataset released. The current deepfake detection datasets lack diversity in terms of image generators and are insufficient in terms of quantity. To address this limitation, we have developed and released a new dataset named the Diffusion-generated Deepfake Detection (D3) dataset. This dataset comprises almost 2. ...
  7. elsa-project.ac.uk

    The English Longitudinal Study of Ageing (ELSA)

    https://www.elsa-project.ac.uk › wave-10

    The weighted Wave 10 dataset is now available on the UK Data Service and you can access it here. The following Wave 10 datasets can be downloaded: W10 end user licence. W10 special licence. W10 secure access. Documentation. The W10 general user guide and technical report are available to download from UKDS and they are also available on the ...
  8. et al. [10] introduced JRDB-Act, a video dataset for group-based social activities in university campus scenes. In con-trast, ELSA focuses on the more challenging task of local-izing social activities in images, where models must infer activities from a snapshot without the temporal cues avail-able in videos. 3. ELSA: A Benchmark for Evaluating ...
  9. Jun 3, 2024In response to these challenges, we propose ELSA, a new benchmark dataset for Evaluating Localization of Social Activities in Urban Streets, using closed as well as open-vocabulary object detection models in recognizing and localizing human activity in urban streets from still images. We employ a multi-labeling scheme and define 34 unique ...
  10. benchmarks.elsa-ai.eu

    Aug 14, 2023Relying on existing (possibly, augmented) or new datasets if suited, benchmarks with associated baselines will be set up to address the following safety-centered challenges: a) calibration of models' outputs and estimation of their uncertainty; b) detection of out-of-domain inputs (either at scene or object level); c) assessment of gradual ...

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