DepuMeng's Projects
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
An official code release of our CVPR'23 paper, BEVHeight
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
A wrapper of the COCOeval class for extended keypoint error estimation analysis.
COCO API - Dataset @ http://cocodataset.org/
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
An example of visualization of weights and output of convolutional layers
(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
End-to-End Object Detection with Transformers
IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Bottom-up Object Detection by Grouping Extreme and Center Points
Pytorch implementation of feature distilling GAN for person reID. (NIPS18)
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
High-resolution representation learning (HRNets) for facial landmark detection
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm