Update datasets_and_evaluations.md

DmitryRyumin · Jan 13, 2024 · 9c4682b · 9c4682b
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Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/sections/datasets_and_evaluations.md b/sections/datasets_and_evaluations.md
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 | [Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding](https://openaccess.thecvf.com/content/WACV2024/html/Feinglass_Towards_Addressing_the_Misalignment_of_Object_Proposal_Evaluation_for_Vision-Language_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/JoshuaFeinglass/VL-detector-eval?style=flat)](https://github.com/JoshuaFeinglass/VL-detector-eval) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Feinglass_Towards_Addressing_the_Misalignment_of_Object_Proposal_Evaluation_for_Vision-Language_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.00215-b31b1b.svg)](http://arxiv.org/abs/2309.00215) | :heavy_minus_sign: |
 | [SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation](https://openaccess.thecvf.com/content/WACV2024/html/Gava_SphereCraft_A_Dataset_for_Spherical_Keypoint_Detection_Matching_and_Camera_WACV_2024_paper.html) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://dfki.github.io/spherecraftweb/) <br /> [![GitHub](https://img.shields.io/github/stars/DFKI/spherecrafthub?style=flat)](https://github.com/DFKI/spherecrafthub) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Gava_SphereCraft_A_Dataset_for_Spherical_Keypoint_Detection_Matching_and_Camera_WACV_2024_paper.pdf) | :heavy_minus_sign: |
 | [Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness](Sarkar_Benchmark_Generation_Framework_With_Customizable_Distortions_for_Image_Classifier_Robustness_WACV_2024_paper) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Sarkar_Benchmark_Generation_Framework_With_Customizable_Distortions_for_Image_Classifier_Robustness_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2310.18626-b31b1b.svg)](http://arxiv.org/abs/2310.18626) | :heavy_minus_sign: |
-| UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation |  |  |  |
-| NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction |  |  |  |
-| Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images |  |  |  |
-| Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation |  |  |  |
-| VEATIC: Video-based Emotion and Affect Tracking in Context Dataset |  |  |  |
+| [UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation](https://openaccess.thecvf.com/content/WACV2024/html/Bui_UOW-Vessel_A_Benchmark_Dataset_of_High-Resolution_Optical_Satellite_Images_for_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/yangdi-cv/UOW-Vessel?style=flat)](https://github.com/yangdi-cv/UOW-Vessel) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Bui_UOW-Vessel_A_Benchmark_Dataset_of_High-Resolution_Optical_Satellite_Images_for_WACV_2024_paper.pdf) | :heavy_minus_sign: |
+| [NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction](https://openaccess.thecvf.com/content/WACV2024/html/Hempel_NITEC_Versatile_Hand-Annotated_Eye_Contact_Dataset_for_Ego-Vision_Interaction_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/thohemp/nitec?style=flat)](https://github.com/thohemp/nitec) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Hempel_NITEC_Versatile_Hand-Annotated_Eye_Contact_Dataset_for_Ego-Vision_Interaction_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.04505-b31b1b.svg)](http://arxiv.org/abs/2311.04505) | :heavy_minus_sign: |
+| [Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images](https://openaccess.thecvf.com/content/WACV2024/html/Rothmeier_Time_To_Shine_Fine-Tuning_Object_Detection_Models_With_Synthetic_Adverse_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Rothmeier_Time_To_Shine_Fine-Tuning_Object_Detection_Models_With_Synthetic_Adverse_WACV_2024_paper.pdf) | :heavy_minus_sign: |
+| [Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation](https://openaccess.thecvf.com/content/WACV2024/html/Rosskamp_Effects_of_Markers_in_Training_Datasets_on_the_Accuracy_of_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/JHRosskamp/6DPoseDataGenTools?style=flat)](https://github.com/JHRosskamp/6DPoseDataGenTools) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Rosskamp_Effects_of_Markers_in_Training_Datasets_on_the_Accuracy_of_WACV_2024_paper.pdf) | :heavy_minus_sign: |
+| [VEATIC: Video-based Emotion and Affect Tracking in Context Dataset](https://openaccess.thecvf.com/content/WACV2024/html/Ren_VEATIC_Video-Based_Emotion_and_Affect_Tracking_in_Context_Dataset_WACV_2024_paper.html) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://veatic.github.io/) <br /> [![GitHub](https://img.shields.io/github/stars/AlbusPeter/VEATIC?style=flat)](https://github.com/AlbusPeter/VEATIC) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Ren_VEATIC_Video-Based_Emotion_and_Affect_Tracking_in_Context_Dataset_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.06745-b31b1b.svg)](http://arxiv.org/abs/2309.06745) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=xHq9K5PT888) |
 | Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering |  |  |  |
 | An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification |  |  |  |
 | Can You Even Tell Left from Right? Presenting a New Challenge for VQA |  |  |  |