A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
每个推荐都保留与其仓库、审计和安装路径的明确关联。
搜索结果: rf-detr
英文目录RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
skills:一句话获取 A 股每日市场数据 — 赚钱效应、热门题材、连板天梯、游资龙虎榜。零配置,无需注册,无需 Token。
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)