SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

21 to 30 of 657 Results

evaluation.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 4.1 KB - MD5: 57190d4825e65b73b0a8255e242caa20 evaluation script to load VisSalFormer weights and make predictions
evaluation.sh Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Shell Script - 87 B - MD5: 0e9c6b5e196912cee38ae0adc5d4f3eb bash script to run evaluation.py
model_swin.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 4.5 KB - MD5: 5c733608c453403dae142c965bb9f14f definition of the VisSalFormer model
README.md Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Markdown Text - 2.2 KB - MD5: b97033eca57cd5221fa4e8262c37bd25 Readme document
SalChartQA.zip Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) ZIP Archive - 699.5 MB - MD5: 6da02ce135804b2081c1aba0b3934c66 The SalChartQA dataset, containing fixationByVis, image_questions.json, raw_img, saliency_all, saliency_ans and unified_approved.csv
tokenizer_bert.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 430 B - MD5: 6b88c19cf6ba462971b9a271141c2f54 tokenizer of Bert
VisSalFormer_weights.tar Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) TAR Archive - 1.7 GB - MD5: f5b6462dc025928b44f696b4300bdd1b weights of VisSalFormer
attentive_convlstm_new.py Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations" Python Source Code - 29.4 KB - MD5: e5810957b65db7b2d05c1baf124db235
cb.py Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations" Python Source Code - 2.5 KB - MD5: 5c89f2f4bcbc8ece3662b0c86dee047e
classif_capable_models.py Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations" Python Source Code - 22.3 KB - MD5: 0f341a3c7bf9e29896bb0d93aeb128b0

evaluation.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 4.1 KB -

evaluation script to load VisSalFormer weights and make predictions

evaluation.sh

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Shell Script - 87 B -

bash script to run evaluation.py

model_swin.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 4.5 KB -

definition of the VisSalFormer model

README.md

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Markdown Text - 2.2 KB -

Readme document

SalChartQA.zip

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

ZIP Archive - 699.5 MB -

The SalChartQA dataset, containing fixationByVis, image_questions.json, raw_img, saliency_all, saliency_ans and unified_approved.csv

tokenizer_bert.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 430 B -

tokenizer of Bert

VisSalFormer_weights.tar

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

TAR Archive - 1.7 GB -

weights of VisSalFormer

attentive_convlstm_new.py

Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations"

Python Source Code - 29.4 KB -

cb.py

Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations"

Python Source Code - 2.5 KB -

classif_capable_models.py

Jun 26, 2023 - Data for: "Scanpath Prediction on Information Visualizations"

Python Source Code - 22.3 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications