用 YOLO-World 模型在 ONNX 中执行开放词汇对象检测的脚本】'ONNX-YOLO-World-Open-Vocabulary-Object-Detection - Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.' GitHub: github.com/ibaiGorordo/ONNX-YOLO-World-Open-Vocabulary-Object-Detection #开源# #...
论文题目:YOLO-World: Real-Time Open-Vocabulary Object Detection 发表时间:2024 作者:成天行、宋林、葛一啸、刘文宇、王兴刚、山颖 作者单位:腾讯 AI 实验室 华中科技大学电子与信息工程学院 发表期刊:CVP…
由YOLO检测器、文本编码器和可再参数化的视觉-语言路径聚合网络( RepVL-PAN )组成。 4.2.1YOLO检测器: YOLO - World主要是在YOLOv8 [ 20 ]的基础上开发的,它包含一个暗网主干[ 20、43 ]作为图像编码器,一个用于多尺度特征金字塔的路径聚合网络( PAN ),以及一个用于边界框回归和对象嵌入的头部。 4.2.2文...
由YOLOv8 提供支持:YOLO-World 基于 Ultralytics YOLOv8 构建,利用实时目标检测领域的最新进展,以无与伦比的准确性和速度促进开放词汇检测。 卓越基准测试:YOLO-World 在标准基准测试的速度和效率方面优于现有的开放词汇检测器(包括 MDETR 和 GLIP 系列),展示了 YOLOv8 在单个 NVIDIA V100 GPU 上的卓越功能。
ONNX-YOLO-World-Open-Vocabulary-Object-Detection / export_clip_text_model.py Latest commit ZHEQIUSHUI 文本编码模型导出Sep 9, 2024 ec27d96· Sep 9, 2024 HistoryHistory File metadata and controls Code Blame 50 lines (33 loc) · 1.92 KB Raw from argparse import ArgumentParser impo...
Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX. - ONNX-YOLO-World-Open-Vocabulary-Object-Detection/export.sh at main · ZHEQIUSHUI/ONNX-YOLO-World-Open-Vocabulary-Object-Detection
YOLO-World-Real-Time-Open-Vocabulary-Object-Detection-CVPR-2024卡牌**少女 上传2.15MB 文件格式 pdf yolo-world 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 将_OpenAI、Claude、PalM、文心一言.、通义千问、讯飞星火、智谱_ChatGLM、in 2025-03-07 07:16:16 积分:1 ...
Open-vocabulary detection (OVD) aims to detect objects beyond a predefined set of categories. As a pioneering model incorporating the YOLO series into OVD, YOLO-World is well-suited for scenarios prioritizing speed and efficiency. However, its performance is hindered by its neck feature fusion mech...
Paper tables with annotated results for Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open scenarios. Addressing this limitation, we introduce YOLO-World, an innovative approach th...