Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2507.20198

图像压缩代码+论文1

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior

Paper • 2404.18820 • Published Apr 29, 2024
Pathology Image Compression with Pre-trained Autoencoders

Paper • 2503.11591 • Published Mar 14, 2025 • 5
Lossy Image Compression with Quantized Hierarchical VAEs

Paper • 2208.13056 • Published Aug 27, 2022 • 1
Region-Adaptive Transform with Segmentation Prior for Image Compression

Paper • 2403.00628 • Published Mar 1, 2024

Embedding Space İnterpretability

On the rankability of visual embeddings

Paper • 2507.03683 • Published Jul 4, 2025 • 16
When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios

Paper • 2507.20198 • Published Jul 27, 2025 • 28

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Paper • 2507.15758 • Published Jul 21, 2025 • 35
Hierarchical Budget Policy Optimization for Adaptive Reasoning

Paper • 2507.15844 • Published Jul 21, 2025 • 17
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts

Paper • 2507.18464 • Published Jul 24, 2025 • 12
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed

Paper • 2507.16880 • Published Jul 22, 2025 • 7

Multimodal Analysis

Analyzing The Language of Visual Tokens

Paper • 2411.05001 • Published Nov 7, 2024 • 24
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 19
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration

Paper • 2411.17686 • Published Nov 26, 2024 • 19
On the Limitations of Vision-Language Models in Understanding Image Transforms

Paper • 2503.09837 • Published Mar 12, 2025 • 10

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
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

图像压缩代码+论文1

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior

Paper • 2404.18820 • Published Apr 29, 2024
Pathology Image Compression with Pre-trained Autoencoders

Paper • 2503.11591 • Published Mar 14, 2025 • 5
Lossy Image Compression with Quantized Hierarchical VAEs

Paper • 2208.13056 • Published Aug 27, 2022 • 1
Region-Adaptive Transform with Segmentation Prior for Image Compression

Paper • 2403.00628 • Published Mar 1, 2024

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Paper • 2507.15758 • Published Jul 21, 2025 • 35
Hierarchical Budget Policy Optimization for Adaptive Reasoning

Paper • 2507.15844 • Published Jul 21, 2025 • 17
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts

Paper • 2507.18464 • Published Jul 24, 2025 • 12
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed

Paper • 2507.16880 • Published Jul 22, 2025 • 7

Embedding Space İnterpretability

On the rankability of visual embeddings

Paper • 2507.03683 • Published Jul 4, 2025 • 16
When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios

Paper • 2507.20198 • Published Jul 27, 2025 • 28

Multimodal Analysis

Analyzing The Language of Visual Tokens

Paper • 2411.05001 • Published Nov 7, 2024 • 24
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 19
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration

Paper • 2411.17686 • Published Nov 26, 2024 • 19
On the Limitations of Vision-Language Models in Understanding Image Transforms

Paper • 2503.09837 • Published Mar 12, 2025 • 10

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
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

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs