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Collections including paper arxiv:2103.14030

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 53
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 8
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

computer vision papers 👓

about 23 hours ago

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 4
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Papers - Image - Attention - Window

Vision Transformer with Quadrangle Attention

Paper • 2303.15105 • Published Mar 27, 2023 • 2
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Paper • 2103.14030 • Published Mar 25, 2021 • 4
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition

Paper • 2209.01620 • Published Aug 31, 2022 • 2
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Paper • 2107.00652 • Published Jul 1, 2021 • 2

Papers - Image - Swin

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Paper • 2103.14030 • Published Mar 25, 2021 • 4
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

Paper • 2104.12137 • Published Apr 25, 2021 • 2
Self-Supervised Learning with Swin Transformers

Paper • 2105.04553 • Published May 10, 2021 • 2
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation

Paper • 2108.11993 • Published Aug 26, 2021 • 2

Papers - Image - Segmentation

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2
RTSeg: Real-time Semantic Segmentation Comparative Study

Paper • 1803.02758 • Published Mar 7, 2018 • 2

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 4
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 8
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

Papers - Attention

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Paper • 2402.10644 • Published Feb 16, 2024 • 81
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23, 2024 • 21
Sequence Parallelism: Long Sequence Training from System Perspective

Paper • 2105.13120 • Published May 26, 2021 • 5

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