hanouticelina/deformable-DETR
Implementation of the paper : Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR 2021)
This project offers an advanced way to identify and locate multiple objects within images. It takes raw image data and outputs precise bounding boxes around detected items, specifying what each object is and where it's located in the picture. This is a tool for machine learning engineers and researchers focused on computer vision tasks.
No commits in the last 6 months.
Use this if you are developing or experimenting with state-of-the-art object detection models and need an implementation of the Deformable DETR architecture.
Not ideal if you need a plug-and-play solution for object detection without deep involvement in model architecture or training.
Stars
27
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 16, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/hanouticelina/deformable-DETR"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dddzg/up-detr
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
xiuqhou/Relation-DETR
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position...
akshitac8/OW-DETR
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
xiuqhou/Salience-DETR
[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer...
BarCodeReader/SelfReformer
[TMM-2023] Official implementation of "Towards Complete and Detail-Preserved Salient Object...