Real-time and accurate open-vocabulary end-to-end object detection
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
#计算机科学#[WACV 2025] Official code for our paper "Enhancing Novel Object Detection via Cooperative Foundational Models"
Image Instance Segmentation - Zero Shot - OpenAI's CLIP + Meta's SAM
使用onnxruntime部署GroundingDINO开放世界目标检测，包含C++和Python两个版本的程序
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
#计算机科学#[CVPR2024 Highlight] Official repository of the paper "The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding."
Creating multimodal multitask models
#计算机科学#Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts
Use Grounding DINO, Segment Anything, and CLIP to label objects in images.
A curated list of papers, datasets and resources pertaining to zero-shot object detection.
#计算机科学#Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
#计算机科学# Zero-shot object detection with CLIP, utilizing Faster R-CNN for region proposals.
Use PaliGemma to auto-label data for use in training fine-tuned vision models.
EfficientSAM + YOLO World base model for use with Autodistill.
This project represents a GroundingDINO Inference (zero-shot object detection) procedure with both methods (CLI and Script). This implementation will help the reader to know the sequence of commands a...
OWLv2 base model for use with Autodistill.