Finegym dataset
TīmeklisFineGym is an action recognition dataset build on top of gymnasium videos. Compared to existing action recognition datasets, FineGym is distinguished in richness, quality, … Tīmeklis2024. gada 24. aug. · The portal contains. (1) an interactive dashboard showing detailed performance plots of top performing models for NTU-120 dataset. (2) code and pre-trained models for top-performers, including novel ensemble which achieves state-of-the-art performance on NTU-120. (3) new skeleton action datasets (skeletics-152, …
Finegym dataset
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Tīmeklis5-min Talk for "FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding".We propose a high-quality dataset while doing comprehensive empi... Tīmeklis2024. gada 4. aug. · Many datasets exist for human action analysis, such as the MPII (Andriluka et al., 2014) and COCO (Lin et al., 2014) for human pose in daily activities, the PennAction (Zhang et al., 2013) for coarse sport recognition, and the AQA (Parmar and Morris, 2024b) and FineGym (Shao et al., 2024) dataset for fine-grained action …
Tīmeklis2024. gada 12. apr. · Download the FineGym dataset from the official web FineGym. Contact that author to get raw videos or using the youtube-dl script in download_finegym_videos.py. Run the preparation script: python dataset_preparation/finegym_process.py We trim the raw video based on the event … TīmeklisTo address this problem, in this work we first release a large-scale and multi-scene dataset named XD-Violence with a total duration of 217 hours, containing 4754 untrimmed videos with audio signals and weak labels. ... The template of this webpage is borrowed from FineGym. Contact For further questions and suggestions, please …
Tīmeklis2024. gada 14. apr. · This work develops a novel large-scale and fine-grained video dataset, coined as FineAction, which takes distinct characteristics of fine action classes with rich diversity, dense annotations of multiple instances, and co-occurring actions of different classes, which introduces new opportunities and challenges for temporal …
TīmeklisThe results show that our dataset is viable and reliable. Additionally, we present a thorough performance analysis of each baseline model to provide a comprehensive comparison for models using...
TīmeklisFineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding. tavarandu vikipetaTīmeklis2024. gada 3. aug. · We conduct our experiments on the benchmark FineGym [ ] dataset with two settings - 1) Gym99, a more balanced setting with 20k train/8.5k test videos for 99 actions, and 2) Gym288, a long-tailed setting with 23k train/9.6k test videos for 288 actions. The 3D vision encoder is experimented on Gym99, while the video … tavaras koonceTīmeklisOSAI introduces OpenTTGames - an open dataset aimed at evaluation of different computer vision tasks in Table Tennis: ball detection, semantic segmentation of humans, table and scoreboard and fast in-game events spotting. It includes full-HD videos of table tennis games recorded at 120 fps with an industrial camera. tavarakuriiriTīmeklis2024. gada 14. apr. · This work develops a novel large-scale and fine-grained video dataset, coined as FineAction, which takes distinct characteristics of fine action … corner jacuzzi tubs with jetsTīmeklisCVF Open Access corner jak zrobićTīmeklisTo take action recognition to a new level, we develop FineGym, a new dataset built on top of gymnasium videos. Compared to existing action recognition datasets, FineGym is distinguished in richness, quality, and diversity. In particular, it provides temporal annotations at both action and sub-action levels with a three-level semantic hierarchy. tavaratalo wiklund turkuTīmeklis2024. gada 3. nov. · In FineGym dataset, we re-run the fully-supervised algorithm SSN on the new data split, and the new results shown in Table 2 are worse than the results reported in FineGym paper as expected, because the original data split has train-test video data leakage problem. Overall, fully-supervised models also struggle on both … corner osijek dostava