itsprakhar / Downstream-Dinov2Links
Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular depth estimation.
☆265Updated 2 years ago
Alternatives and similar repositories for Downstream-Dinov2
Users that are interested in Downstream-Dinov2 are comparing it to the libraries listed below
Sorting:
- Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA)☆384Updated 2 months ago
- Dino V2 for Classification, PCA Visualization, Instance Retrival: https://arxiv.org/abs/2304.07193☆204Updated 2 years ago
- [ICLR'24 & IJCV‘25] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching☆538Updated 3 weeks ago
- [CVPR 2024] Official implementation of the paper "Visual In-context Learning"☆517Updated last year
- [NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convoluti…☆333Updated last year
- [CVPR 2024] Official implementation of "VRP-SAM: SAM with Visual Reference Prompt"☆168Updated last year
- [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"☆744Updated last year
- Fine-tune Segment-Anything Model with Lightning Fabric.☆568Updated last year
- [ICLR 2025 oral] RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything☆266Updated 8 months ago
- using clip and sam to segment any instance you specify with text prompt of any instance names☆182Updated 2 years ago
- Open-vocabulary Semantic Segmentation☆367Updated last year
- [NeurIPS 2024] Code release for "Segment Anything without Supervision"☆495Updated last month
- Training and testing of DINOv2 for segmentation downstream☆42Updated 10 months ago
- Finetuning DINOv2 (https://github.com/facebookresearch/dinov2) on your own dataset☆63Updated 2 years ago
- Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works☆202Updated last year
- [Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks☆455Updated 9 months ago
- CoRL 2024☆458Updated last year
- Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.☆386Updated 2 years ago
- [TPAMI2025&CVPR2024] Official Pytorch Implementation of SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation.☆187Updated last year
- This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the fu…☆166Updated 2 years ago
- SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)☆252Updated 4 months ago
- [CVPR 2024] Code for "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adapta…☆176Updated last year
- [CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segme…☆390Updated 4 months ago
- [CVPR2023] FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation☆212Updated last year
- [CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).☆501Updated last month
- One summary of efficient segment anything models☆112Updated last year
- Segment Your Ring (SYR) - Segment Anything model adapted with LoRA to segment rings.☆133Updated last year
- Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]☆285Updated 2 years ago
- Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense…☆334Updated 11 months ago
- This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.☆744Updated 2 years ago