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Collections including paper arxiv:2309.01674

Papers - SAM - Segment Anything Model

Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models

Paper • 2309.01674 • Published Sep 4, 2023 • 2
Segment Anything

Paper • 2304.02643 • Published Apr 5, 2023 • 2
EgoLifter: Open-world 3D Segmentation for Egocentric Perception

Paper • 2403.18118 • Published Mar 26 • 7
A Multimodal Automated Interpretability Agent

Paper • 2404.14394 • Published 28 days ago • 19

Papers - Document - Understanding - Historical Images Text

Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models

Paper • 2309.01674 • Published Sep 4, 2023 • 2

Papers - Image - Understanding

Veagle: Advancements in Multimodal Representation Learning

Paper • 2403.08773 • Published Jan 18 • 7
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Paper • 2304.14178 • Published Apr 27, 2023 • 2
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Paper • 2403.12596 • Published Mar 19 • 9
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Paper • 2403.11703 • Published Mar 18 • 13

Papers - Image - Segment - Handwriting

Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation

Paper • 2309.03072 • Published Sep 6, 2023 • 2
Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models

Paper • 2309.01674 • Published Sep 4, 2023 • 2
Segment Anything

Paper • 2304.02643 • Published Apr 5, 2023 • 2

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

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 5
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 - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 2
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

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