This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"

[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

Official repo for our ICML 23 paper: "Multi-Modal Classifiers for Open-Vocabulary Object Detection"

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

(TPAMI 2024) A Survey on Open Vocabulary Learning

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]