@article{feng2025vision, title={Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation}, author={Feng, Yongchao and Liu, Yajie and Yang, Shuai and Cai, Wenrui and Zhang, ...

Recently, vision-language pre-training shows great potential in open-vocabulary object detection, where detectors trained on base classes are devised for detecting new classes. The class text ...

Advancements in deep learning and computer vision have greatly enhanced object detection, playing a vital role in applications such as autonomous driving and surveillance. This study explores the ...

Exploiting unlabeled data with vision and language models for object detection, ECCV 2022 - xiaofeng94/VL-PLM. Exploiting unlabeled data with vision and language models for object detection, ECCV 2022 ...

With this continuous improvement in object detection technology, it is safe to speculate that writers could play a bigger role in robotics, health, and transport, among other fields, in the ...

This model leverages the power of pre-trained vision-language frameworks, similar to the BLIP-Diffusion architecture, augmented by an advanced object detection mechanism analogous to the NDFT ...

Object detection using machine vision requires an AI model/algorithm to run on top of AI chips, FPGAs, or modules. Together, these are commonly referred to as an “AI engine.” After first being trained ...

Abstract: Advancements in deep learning and computer vision have greatly enhanced object detection, playing a vital role in applications such as autonomous driving and surveillance. This study ...