OpenMMLab Detection Toolbox and Benchmark
翻译 - OpenMMLab检测工具箱和基准
#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件,提供多种主流目标检测、实例分割、跟踪、关键点检测算法,配置化的网络模块组件、数据增强策略、损失函数等,推出多种服务器端和移动端工业级SOTA模型,并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。
Implementation of popular deep learning networks with TensorRT network definition API
翻译 - 使用TensorRT网络定义API实施流行的深度学习网络
#Awesome#An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
翻译 - 收集一些有远见的有关变压器的论文。具有计算机视觉 (CV) 功能的出色 Transformer
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
翻译 - 🔥🔥🔥🔥 带有 Transformers 和 Instance Segmentation 的 YOLO,带有 TensorRT 加速! 🔥🔥🔥
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
#计算机科学#A paper list of some recent Transformer-based CV works.
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-bas...
[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
SimpleAICV:pytorch training and testing examples.
[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
#计算机科学#[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector
#计算机科学# AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)