…Features of these videos are extracted by the state-of-the-art popular pre-trained models and released for public use. Each video contains audio and visual modality. Based on the visual information, videos are divided into 24 topics, such as sports, game, arts & entertainment, etc
135 PAPERS • 2 BENCHMARKS
OCTCBVS is a benchmark dataset for testing and evaluating novel and state-of-the-art computer vision algorithms.
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…Based on rendered scenes from the open-source Blender movie "Spring", it provides photo-realistic HD datasets with state-of-the-art visual effects and ground truth training data.
20 PAPERS • 3 BENCHMARKS
The detection and localization of highly realistic deepfake audio-visual content are challenging even for the most advanced state-of-the-art methods. The comprehensive benchmark of the proposed dataset utilizing state-of-the-art deepfake detection and localization methods indicates a significant drop in performance compared to previous datasets.
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…A team of behavior experts annotated each video on a frame-by-frame basis for a state-of-the-art study of the neurophysiological mechanisms involved in aggression and courtship in mice.
…The images were obtained by running a state-of-the-art person detector on every tenth frame of 30 movies.
45 PAPERS • 2 BENCHMARKS
The Drive&Act dataset is a state of the art multi modal benchmark for driver behavior recognition.
18 PAPERS • 1 BENCHMARK
…With NExT-GQA, we scrutinize a variety of state-of-the-art VLMs.
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…The vehicle path trajectory in these datasets contain several large and small-scale loop closures, which should be useful for testing various state of the art computer vision and SLAM (Simultaneous Localization
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…Moreover, eleven state-of-the-art algorithms are evaluated on the benchmark using two evaluation metrics, with detailed analysis provided for the evaluation results.
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The TbV dataset is large-scale dataset created to allow the community to improve the state of the art in machine learning tasks related to mapping, that are vital for self-driving.
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…To validate the performance of existing end-to-end Sign language to spoken language translation systems, we benchmark the created dataset with multiple existing state-of-the-art systems for sign languages
…Using this, we created two unique NR-VQA models: (a) a local-to-global region-based NR VQA architecture (called PVQ) that learns to predict global video quality and achieves state-of-the-art performance
13 PAPERS • 1 BENCHMARK
…Video recordings were postprocessed using the state-of-the-art pose estimator BodyTrack (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each
…Additionally, the small sizes make them only marginally usable for state-of-the-art learning systems, such as deep learning.
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…Participants will be provided with an extensive data set of videos with memorability annotations, related information, pre-extracted state-of-the-art visual features, and Electroencephalography (EEG) recordings
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…Here are more details summarising the approach: A novel network: a new state-of-the-art clip-level and video level feature aggregated network (CVA-Net) created to aggregate clip-level temporal features
…Foundation Models Evaluation: Researchers evaluated several state-of-the-art foundation models, including GPT-4V, using the OpenEQA dataset.
…With its realistic and diverse dataset, SportsPose provides a valuable resource for advancing the state-of-the-art in pose estimation in sports
…We hope that the SoccerTrack dataset will help advance the state of the art in multi-object tracking, especially in team sports.