S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces

12 October 2022

Papers citing "S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces"

7 / 7 papers shown

Title
Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin M. Beck Korbinian Poppel Sepp Hochreiter Johannes Brandstetter VLM 56 36 0 24 Feb 2025
GG-SSMs: Graph-Generating State Space Models Nikola Zubić Davide Scaramuzza Mamba 86 1 0 17 Dec 2024
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks Jerome Sieber Carmen Amo Alonso A. Didier M. Zeilinger Antonio Orvieto AAML 42 7 0 24 May 2024
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections Albert Gu Isys Johnson Aman Timalsina Atri Rudra Christopher Ré Mamba 93 88 0 24 Jun 2022
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Yin Cui Boqing Gong ViT 231 573 0 22 Apr 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014