[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

The student behavior detection system developed based on mmdetection framework adopts swin transformer as the backbone network, adopts feature pyramid FPN as the neck part, and adopts Deformable DETR as the detection head. It detects seven common classroom behaviors: looking up, reading, writing, standing up, talking, and group discussion.

This project hosts the code for implementing the UP-DETR algorithms based on the official project. Due to the inheritance designation, it enables developers as well as researchers to integrate into their projects more easily and elegantly.

Jupyter notebooks for U-Pb timeseries, detrital common Pb corrections, U-Pb plotter, rutile trace element visualization, trace element PCA

This project builds up on existing implementation of deformable DETR and allows fine tuning detection transformer on Forest Fire Framwork.

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開けろ！デトロイト市警だ！

A list of DETR & its follow-up research papers and related resources.

Updated Repo of Defence Procurement System for Auctions

Unsupervised Pre-training for 3D Object Detection with Transformers

UPE-DETR: Toward Environment-Aware Detection of Underwater Small Objects via Prompt-Guided Feature Enhancement

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适用于地下停车场环境下的车位检测以及被遮挡车位的后续补全

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Repository with a Node script to upload Detris data to IPFS

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This is a social media type application utilizing AngularJS, but you can only post from within select neighborhoods in Detroit. This is to keep negative people from outside of the city out. If a post gets too many downvotes vs upvotes, it is also removed from the view of users.

Use DETR to detect lines and update dependencies to the latest resnet weights.

Detras-De-Los-Datos-_Union-de-Archivos-CSV

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🔍 Hold up real objects to your webcam. In-browser AI identifies them. Transformers.js DETR model, single-file browser game.

Privacy-preserving smart-store demo that detects product pick-up and autogenerates invoices. Built with computer vision (YOLO/DETR), CLIP for product matching, and an LLM agent for billing.

A high-throughput pipeline for root anatomy analysis using knowledge distillation with DINOv2 to train YOLO11/RT-DETR. Detection-guided SAM segmentation achieves IoU up to 0.95 with only 50% labeled data. Scalable, annotation-efficient, and transferable across species for crop resilience research.