A survey on open-vocabulary detection and segmentation: Past, present, and future
As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …
have made tremendous progress in deep learning era. Due to the expensive manual …
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
Open-vocabulary detection (OVD) aims to detect novel objects without instance-level
annotations to achieve open-world object detection at a lower cost. Existing OVD methods …
annotations to achieve open-world object detection at a lower cost. Existing OVD methods …
Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation
Y Zheng, K Liu - arXiv preprint arXiv:2404.08603, 2024 - arxiv.org
Open-vocabulary object detection (OVOD) aims at localizing and recognizing visual objects
from novel classes unseen at the training time. Whereas, empirical studies reveal that …
from novel classes unseen at the training time. Whereas, empirical studies reveal that …