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Collections including paper arxiv:2407.21794

about 4 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 24
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23, 2024 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Papers - Image - Datasets - CIFAR

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 24
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

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

Paper • 2403.06775 • Published Mar 11, 2024 • 5
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 10
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 - Image - OOD - Out of Distribution

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Paper • 2407.21794 • Published Jul 31, 2024 • 7

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

Papers - Image - Clip

Demystifying CLIP Data

Paper • 2309.16671 • Published Sep 28, 2023 • 20
Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 12
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1, 2024 • 23
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3, 2024 • 19

about 4 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Papers - Image - OOD - Out of Distribution

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Paper • 2407.21794 • Published Jul 31, 2024 • 7

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 24
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23, 2024 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

Papers - Image - Datasets - CIFAR

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 24
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

Papers - Image - Clip

Demystifying CLIP Data

Paper • 2309.16671 • Published Sep 28, 2023 • 20
Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 12
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1, 2024 • 23
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3, 2024 • 19

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

Paper • 2403.06775 • Published Mar 11, 2024 • 5
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 10
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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