anyantudre / Florence-2-Vision-Language-ModelLinks
Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.
☆99Updated last year
Alternatives and similar repositories for Florence-2-Vision-Language-Model
Users that are interested in Florence-2-Vision-Language-Model are comparing it to the libraries listed below
Sorting:
- [ICCV2025] Referring any person or objects given a natural language description. Code base for RexSeek and HumanRef Benchmark☆162Updated 2 weeks ago
- Florence-2☆71Updated 7 months ago
- Code for ChatRex: Taming Multimodal LLM for Joint Perception and Understanding☆203Updated 8 months ago
- Scaling Vision Pre-Training to 4K Resolution☆205Updated last month
- Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗☆277Updated 7 months ago
- Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"☆474Updated 6 months ago
- An open-source implementaion for fine-tuning SmolVLM.☆50Updated 3 weeks ago
- Rex-Thinker: Grounded Object Refering via Chain-of-Thought Reasoning☆122Updated 3 months ago
- [ICCV 2025] OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning☆395Updated 3 weeks ago
- [ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces☆237Updated 7 months ago
- Vision Manus: Your versatile Visual AI assistant☆277Updated last week
- [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"☆211Updated last year
- [Fully open] [Encoder-free MLLM] Vision as LoRA☆340Updated 3 months ago
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆67Updated last year
- ☆193Updated 4 months ago
- RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)☆360Updated last year
- PyTorch Implementation of Object Recognition as Next Token Prediction [CVPR'24 Highlight]☆181Updated 5 months ago
- [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim☆345Updated last week
- [ICCVW 25] LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning☆151Updated 2 months ago
- Codebase for the Recognize Anything Model (RAM)☆85Updated last year
- [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models☆277Updated last year
- [CVPR2025] Project for "HyperSeg: Towards Universal Visual Segmentation with Large Language Model".☆169Updated 9 months ago
- Image Prompter for Gradio☆92Updated last year
- A CPU Realtime VLM in 500M. Surpassed Moondream2 and SmolVLM. Training from scratch with ease.☆235Updated 5 months ago
- [CVPR 2025 Highlight] Official repository for the paper: "SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation"☆326Updated 2 weeks ago
- [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts☆331Updated last year
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆166Updated last year
- [CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloadin…☆227Updated last year
- [CVPR 2024] PixelLM is an effective and efficient LMM for pixel-level reasoning and understanding.☆237Updated 7 months ago
- [ECCV2024] This is an official implementation for "PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model"☆253Updated 9 months ago