Always private
DuckDuckGo never tracks your searches.
Learn More
You can hide this reminder in Search Settings
All regions
Argentina
Australia
Austria
Belgium (fr)
Belgium (nl)
Brazil
Bulgaria
Canada (en)
Canada (fr)
Catalonia
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hong Kong
Hungary
Iceland
India (en)
Indonesia (en)
Ireland
Israel (en)
Italy
Japan
Korea
Latvia
Lithuania
Malaysia (en)
Mexico
Netherlands
New Zealand
Norway
Pakistan (en)
Peru
Philippines (en)
Poland
Portugal
Romania
Russia
Saudi Arabia
Singapore
Slovakia
Slovenia
South Africa
Spain (ca)
Spain (es)
Sweden
Switzerland (de)
Switzerland (fr)
Taiwan
Thailand (en)
Turkey
Ukraine
United Kingdom
US (English)
US (Spanish)
Vietnam (en)
Safe search: moderate
Strict
Moderate
Off
Any time
Any time
Past day
Past week
Past month
Past year
Showing results excluding:
  • www.elsa-project.ac.uk

All Results

  1. 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 ...
  2. 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.
  3. 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.
  4. 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 ...
  5. 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.
  6. aimagelab.ing.unimore.it

    ELSA Benchmark Data. D 3 is a multimodal dataset that contains 9.2M generated images, ... to assist content creators, generate simulated datasets, or enable multi-modal interactive applications), there is a growing concern that they might also be used for illegal and malicious purposes, such as the forgery of natural images, the generation of ...
  7. 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 ...
  8. paperswithcode.com

    Jun 3, 2024In this paper, we propose a new benchmark dataset for Evaluating Localization of Social Activities (ELSA) in urban street images. ELSA draws on theoretical frameworks in urban sociology and design. While majority of action recognition datasets are collected in controlled settings, we use in-the-wild street-level imagery, where the size of ...
  9. zhuanlan.zhihu.com

    The benchmarking datasets are the basis of fair comparison and validation of computational methods. 什么是 benchmark datasets. benchmark datasets( 基准数据库 )是公平比较和验证计算方法的基础,基准数据集用于基准测试,是一个算法模型性能的衡量基准,很多特定机器学习问题都需要 基准测试 数据。

    Can’t find what you’re looking for?

    Help us improve DuckDuckGo searches with your feedback

Custom date rangeX