Vision-LSTM: xLSTM as Generic Vision Backbone
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Abstract (arXiv)
Transformers are widely used as generic backbones in computer vision, despite initially introduced for natural language processing. Recently, the Long Short-Term Memory (LSTM) has been extended to a scalable and performant architecture - the xLSTM - which overcomes long-standing LSTM limitations via exponential gating and parallelizable matrix memory structure. In this report, we introduce Vision-LSTM (ViL), an adaption of the xLSTM building blocks to computer vision. ViL comprises a stack of xLSTM blocks where odd blocks process the sequence of patch tokens from top to bottom while even blocks go from bottom to top. Experiments show that ViL holds promise to be further deployed as new generic backbone for computer vision architectures.
Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). Builds on 72 of its 97 references that are in the map. First posted on arXiv 6 Jun 2024.
Builds on
72 of 97 references.
References · 72
- 2017Attention Is All You Needcited by 59,932
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
- 2023GPT-4 Technical Reportcited by 18,132
- 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
- 2023Segment Anythingcited by 8,158
- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
- 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,339
- 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,893
- 2016Densely Connected Convolutional Networkscited by 6,691
- 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
38 more
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- 2016Layer Normalizationcited by 5,579
- 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
- 2017mixup: Beyond Empirical Risk Minimizationcited by 5,155
- 2020Bootstrap your own latent: A new approach to self-supervised Learningcited by 4,712
- 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
- 2020Training data-efficient image transformers & distillation through attentioncited by 4,560
- 2014Going Deeper with Convolutionscited by 4,231
- 2022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenesscited by 3,611
- 2022A ConvNet for the 2020scited by 3,545
- 2019CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Featurescited by 2,875
- 2019Benchmarking Neural Network Robustness to Common Corruptions and Perturbationscited by 2,857
- 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,551
- 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 2,424
- 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,360
- 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,338
- 2020The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalizationcited by 1,842
- 2018Unsupervised Representation Learning by Predicting Image Rotationscited by 1,586
- 2021TransUNet: Transformers Make Strong Encoders for Medical Image Segmentationcited by 1,552
- 2017EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classificationcited by 1,488
- 2017Accurate, Large Minibatch SGD: Training ImageNet in 1 Hourcited by 1,479
- 2016CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoningcited by 1,445
- 2019Natural Adversarial Examplescited by 1,401
- 2016Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzlescited by 1,379
- 2018Unified Perceptual Parsing for Scene Understandingcited by 1,265
- 2021SimMIM: A Simple Framework for Masked Image Modelingcited by 1,147
- 2016Colorful Image Colorizationcited by 1,113
- 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
- 2015Unsupervised Visual Representation Learning by Context Predictioncited by 1,062
- 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 1,051
- 2019Learning Robust Global Representations by Penalizing Local Predictive Powercited by 1,010
- 2016Deep Networks with Stochastic Depthcited by 973
- 2024VMamba: Visual State Space Modelcited by 955
- 2021UNETR: Transformers for 3D Medical Image Segmentationcited by 954
- 2023RWKV: Reinventing RNNs for the Transformer Eracited by 814
- 2017Remote Sensing Image Scene Classification: Benchmark and State of the Artcited by 791
- 2021Going deeper with Image Transformerscited by 759
- 2023Scaling Vision Transformers to 22 Billion Parameterscited by 690
50 most cited of 72 All 72 (JSON)
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Citing papers per year: 2024: 21; 2025: 23; 2026: 7.
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- 2024Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework29 Aug 2024
- 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds25 Jul 2024
- 2024Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste24 Jul 2024
- 2024xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart1 Jul 2024
- 2024Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?24 Jun 2024
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- 2024xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpartcited by 12
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- 2025pLSTM: parallelizable Linear Source Transition Mark networkscited by 2
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- 2024When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentationcited by 0
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- 2025MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement1 Jul 2025
- 2025pLSTM: parallelizable Linear Source Transition Mark networks13 Jun 2025
- 2025InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck Mamba10 Jun 2025
- 2025xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement10 Jan 2025
- 2024MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery9 Dec 2024
- 2024MobileMamba: Lightweight Multi-Receptive Visual Mamba Network24 Nov 2024
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- 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds25 Jul 2024
- 2024xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart1 Jul 2024
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- 2024A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Taskscited by 14
- 2024Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequencescited by 13
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- 2024Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Modelscited by 7
- 2024ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensingcited by 7
- 2025Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge resultscited by 7
- 2024Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Imagescited by 5
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12 most cited of 39 All 39 (JSON)
- 2026MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation18 Aug 2026
- 2026Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model19 Jul 2026
- 2026Diffusion-Guided Uncertainty-Aware Delayed Policy Optimization6 Jul 2026
- 2026Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers8 Jun 2026
- 2026FACT: A Simple and Efficient Framework for Active Finetuning1 Jun 2026
- 2026OSA: Echocardiography Video Segmentation via Orthogonalized State Update and Anatomical Prior-aware Feature Enhancement27 Mar 2026
- 2026Effective Distillation to Hybrid xLSTM Architectures16 Mar 2026
- 2025Plug In, Grade Right: Psychology-Inspired AGIQA28 Dec 2025
- 2025GSPN-2: Efficient Parallel Sequence Modeling28 Nov 2025
- 2025TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation15 Nov 2025
- 2025BenchECG and xECG: a benchmark and baseline for ECG foundation models12 Sep 2025
- 2025Atmos-Bench: 3D Atmospheric Structures for Climate Insight15 Jul 2025
12 newest of 39 All 39 (JSON)