OpenMMLab Detection Toolbox and Benchmark
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Updated
Aug 21, 2024 - Python
OpenMMLab Detection Toolbox and Benchmark
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence
[CVPR 2022 Oral] Official implementation of DN-DETR
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
Dense Distinct Query for End-to-End Object Detection (CVPR2023)
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"
GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)
[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.
A User Interface for DETR built with Dash. 100% Python.
Official pytorch repository for CG-DETR "Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding"
An Efficient, Flexible, and General deep learning framework that retains minimal.
[CVPR 2024 Best paper award candidate] EGTR: Extracting Graph from Transformer for Scene Graph Generation
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