Code for our paper "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection".
MIT License
Statistics for this project are still being loaded, please check back later.
A Simple and Versatile Framework for Object Detection and Instance Recognition
Dense Prediction Transformers
Code for MOVE: Unsupervised Movable Object Segmentation and Detection; NeurIPS 2022
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Object detection, 3D detection, and pose estimation using center point detection:
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes...
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Sele...
Object Detection and Multi-Object Tracking
PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration", C...
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
A paper list of object detection using deep learning.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow