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Collections including paper arxiv:2405.10300

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

Paper • 2402.04252 • Published Feb 6 • 22
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 10
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 12
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

ibm-granite/granite-34b-code-instruct

Text Generation • Updated 12 days ago • 2.07k • 65
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Paper • 2405.10300 • Published May 16 • 25

Foundation Models

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Paper • 2404.04125 • Published Apr 4 • 27
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies

Paper • 2404.08197 • Published Apr 12 • 27
Probing the 3D Awareness of Visual Foundation Models

Paper • 2404.08636 • Published Apr 12 • 11
AM-RADIO: Agglomerative Model -- Reduce All Domains Into One

Paper • 2312.06709 • Published Dec 10, 2023 • 1

LocalMamba: Visual State Space Model with Windowed Selective Scan

Paper • 2403.09338 • Published Mar 14 • 7
GiT: Towards Generalist Vision Transformer through Universal Language Interface

Paper • 2403.09394 • Published Mar 14 • 25
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

Paper • 2402.19479 • Published Feb 29 • 31
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Paper • 2405.10300 • Published May 16 • 25

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