Open-vocabulary object detection
65 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Open-vocabulary object detection
Most implemented papers
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
On COCO, ViLD outperforms the previous state-of-the-art by 4. 8 on novel AP and 11. 4 on overall AP.
Open-Vocabulary DETR with Conditional Matching
To this end, we propose a novel open-vocabulary detector based on DETR -- hence the name OV-DETR -- which, once trained, can detect any object given its class name or an exemplar image.
Simple Open-Vocabulary Object Detection with Vision Transformers
Combining simple architectures with large-scale pre-training has led to massive improvements in image classification.
Scaling Open-Vocabulary Object Detection
google-research/scenic
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NeurIPS 2023
However, with OWL-ST, we can scale to over 1B examples, yielding further large improvement: With an L/14 architecture, OWL-ST improves AP on LVIS rare classes, for which the model has seen no human box annotations, from 31. 2% to 44. 6% (43% relative improvement).
YOLO-World: Real-Time Open-Vocabulary Object Detection
ailab-cvc/yolo-world
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CVPR 2024
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools.
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Open-vocabulary object detection (OVD) aims to scale up vocabulary size to detect objects of novel categories beyond the training vocabulary.
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
google-research/google-research
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CVPR 2023
We present Region-aware Open-vocabulary Vision Transformers (RO-ViT) - a contrastive image-text pretraining recipe to bridge the gap between image-level pretraining and open-vocabulary object detection.
Taming Self-Training for Open-Vocabulary Object Detection
xiaofeng94/sas-det
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CVPR 2024
This work identifies two challenges of using self-training in OVD: noisy PLs from VLMs and frequent distribution changes of PLs.
Region-centric Image-Language Pretraining for Open-Vocabulary Detection
google-research/google-research
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We present a new open-vocabulary detection approach based on region-centric image-language pretraining to bridge the gap between image-level pretraining and open-vocabulary object detection.
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head
om-ai-lab/OmDet
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End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities.
