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本文转载自:机器之心 | 作者:魔王
谷歌研究科学家 David Ha:Transformer 是新的 LSTM。
论文:Taming Transformers for High-Resolution Image Synthesis
链接:https://arxiv.org/pdf/2012.09841v1.pdf
论文:TransTrack: Multiple-Object Tracking with Transformer
链接:https://arxiv.org/pdf/2012.15460v1.pdf
论文:Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
链接:https://arxiv.org/pdf/2101.02402v1.pdf
论文:Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning
链接:https://arxiv.org/pdf/2006.06119v5.pdf
论文:Self-Attention Based Context-Aware 3D Object Detection
链接:https://arxiv.org/pdf/2101.02672v1.pdf
论文:PCT: Point Cloud Transformer
链接:https://arxiv.org/pdf/2012.09688v1.pdf
论文:Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
链接:https://arxiv.org/pdf/1912.09363v3.pdf
论文:VinVL: Making Visual Representations Matter in Vision-Language Models
链接:https://arxiv.org/pdf/2101.00529v1.pdf
论文:End-to-end Lane Shape Prediction with Transformers
链接:https://arxiv.org/pdf/2011.04233v2.pdf
论文:Deformable DETR: Deformable Transformers for End-to-End Object Detection
链接:https://arxiv.org/pdf/2010.04159v2.pdf
CV资源下载
后台回复:CVPR2020,即可下载代码开源的论文合集
后台回复:ECCV2020,即可下载代码开源的论文合集
后台回复:YOLO,即可下载YOLOv4论文和代码
后台回复:Transformer综述,即可下载两个最新的视觉Transformer综述PDF,肝起来!
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