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Collections including paper arxiv:2404.15244

Papers - Image - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 77
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11 • 11
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 30
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12 • 26

Papers - University - University of California San Diego

I am a Strange Dataset: Metalinguistic Tests for Language Models

Paper • 2401.05300 • Published Jan 10 • 4
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Paper • 2404.08801 • Published Apr 12 • 62
SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification

Paper • 2305.09781 • Published May 16, 2023 • 4
MeshLRM: Large Reconstruction Model for High-Quality Mesh

Paper • 2404.12385 • Published Apr 18 • 25

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 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 6
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

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