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dbq-ssd

The official implementation of the paper DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection (ICLR 2023)

dcgnet

The code for IJCAI 2019 paper "Deep Cascade Generation on Point Sets"

dcp

dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

ddmp-3d

[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.

de6d

This repo is the official code release of paper "Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness".

deco

DeCo: Denoise and Contrast for Category Agnostic Shape Completion

decouplenet

Official implementation for our ECCV 2022 paper "DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation"

deecamp_ab3dmot

A tracking and visualization project base on the Deecamp 2020 dataset

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_gcns

Repo for "Can GCNs Go as Deep as CNNs?"

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deepaccident

Code for the benchmark - DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

deepfusionmot

deepi2p

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

deepslidingshape

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

deepvision3d

DeepVision3D is an open source toolbox for point-cloud understanding.

deformable-convnets

Deformable Convolutional Networks

defrec_and_pcm

Self-Supervised Learning for Domain Adaptation on Point-Clouds

demf

Boosting 3D Object Detection via Object-Focused Image Fusion

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

densedepthmap

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

densepoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

depth-coefficients-4-depthcompletion

Project Page