Learning 1D Causal Visual Representation with De-focus Attention
Networks

Learning 1D Causal Visual Representation with De-focus Attention Networks

6 June 2024

Chenxin Tao

Xizhou Zhu

Hongsheng Li

Jifeng Dai

Papers citing "Learning 1D Causal Visual Representation with De-focus Attention Networks"

8 / 8 papers shown

Title
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data Shufan Li Harkanwar Singh Aditya Grover Mamba 69 56 0 08 Feb 2024
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Zhe Chen Jiannan Wu Wenhai Wang Weijie Su Guo Chen ... Bin Li Ping Luo Tong Lu Yu Qiao Jifeng Dai VLM MLLM 135 895 0 21 Dec 2023
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 83 258 0 11 Mar 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 154 676 0 22 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016