WebA sparse-aware solution for efficient event data processing. Event Transformer (EvT) takes advantage of the event-data sparsity to increase its efficiency. EvT usses a new sparse … WebApr 7, 2024 · EvT is evaluated on different event-based benchmarks for action and gesture recognition. Evaluation results show better or comparable accuracy to the state-of-the-art …
Custom Change Event Transformer - PagerDuty
WebMay 26, 2024 · Background: T ransformer-based language models have delivered clear improvements in a wide range of natural language processing (NLP) tasks. However, those models have a significant limitation; specifically, they cannot infer causality, a prerequisite for deployment in pharmacovigilance, and health care. Therefore, these transformer … WebApr 10, 2024 · ACL 2024事件抽取论文汇总,后续会更新全部的论文讲解(由于ACL 2024还未放榜,目前仅更新放在arxiv上的文章)。Event Extraction Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding Event Detection Event Argument Extraction Multilingual Generative Language Models for Zero-Sho schema synthese
SSAST: Self-Supervised Audio Spectrogram Transformer
WebThe event camera is a bio-vision inspired camera with high dynamic range, high response speed, and low power consumption, recently attracting extensive attention for its use in vast vision tasks. Unlike the conventional cameras that output intensity frame at a fixed time interval, event camera records the pixel brightness change (a.k.a., event) … WebApr 7, 2024 · This work proposes a novel framework, Event Transformer (EvT), that effectively takes advantage of event-data properties to be highly efficient and accurate. We introduce a new patch-based event representation and a compact transformer-like architecture to process it. EvT is evaluated on different event-based benchmarks for … WebOct 19, 2024 · The proposed self-supervised framework significantly boosts AST performance on all tasks, with an average improvement of 60.9%, leading to similar or even better results than a supervised pretrained AST. To the best of our knowledge, it is the first patch-based self-supervised learning framework in the audio and speech domain, and … schemat a b c