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Nov 10, 2024
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Discover the best community collections!
Collections including paper arxiv:2407.21794
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Dec 3, 2024
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Nov 15, 2024
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Demystifying CLIP Data
Paper • 2309.16671 • Published • 20 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 13 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 22 -
On the Scalability of Diffusion-based Text-to-Image Generation
Paper • 2404.02883 • Published • 19
Collection by
27 days ago
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Jan 30, 2025
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All you need is a good init
Paper • 1511.06422 • Published • 1 -
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper • 2404.14507 • Published • 23 -
Efficient Transformer Encoders for Mask2Former-style models
Paper • 2404.15244 • Published • 1 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12
Collection by
Dec 22, 2024
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All you need is a good init
Paper • 1511.06422 • Published • 1 -
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper • 2404.14507 • Published • 23 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15
Collection by
Jan 28, 2025
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 4 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
Collection by
Nov 10, 2024
Collection by
Jan 30, 2025
-
All you need is a good init
Paper • 1511.06422 • Published • 1 -
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper • 2404.14507 • Published • 23 -
Efficient Transformer Encoders for Mask2Former-style models
Paper • 2404.15244 • Published • 1 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12
Collection by
Dec 3, 2024
Collection by
Dec 22, 2024
-
All you need is a good init
Paper • 1511.06422 • Published • 1 -
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper • 2404.14507 • Published • 23 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15
Collection by
Nov 15, 2024
-
Demystifying CLIP Data
Paper • 2309.16671 • Published • 20 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 13 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 22 -
On the Scalability of Diffusion-based Text-to-Image Generation
Paper • 2404.02883 • Published • 19
Collection by
Jan 28, 2025
-
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 4 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
Collection by
27 days ago
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23