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Collections including paper arxiv:2404.07973

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

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
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

about 11 hours ago

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13 • 10
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 18
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16 • 10
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

Papers - Image - Training - OCR - High-Res Dense Alignment

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

Papers - Image - Grounding

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28
RegionGPT: Towards Region Understanding Vision Language Model

Paper • 2403.02330 • Published Mar 4 • 2

Papers - Image - Dataset - LVIS

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12 • 25
GLIGEN: Open-Set Grounded Text-to-Image Generation

Paper • 2301.07093 • Published Jan 17, 2023 • 3
Grounded Language-Image Pre-training

Paper • 2112.03857 • Published Dec 7, 2021 • 3

Papers - Image - Referring Object Classification (ROC)

Where the model is tasked with identifying the object in a region mentioned in a query. we utilize the validation split of the LVIS dataset

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

Papers - Image - Encoders - Dual Vision MLP projectors

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

Papers - Image - VQA - Ferret

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

Papers - University - Columbia University

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28
GLIGEN: Open-Set Grounded Text-to-Image Generation

Paper • 2301.07093 • Published Jan 17, 2023 • 3
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

Paper • 2404.13026 • Published Apr 19 • 21
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 11

Papers - University - University of Santa Barbara

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Paper • 2406.08407 • Published 21 days ago • 24

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