【ICCV 2023】FocalFormer3D : Focusing on Hard Instance for 3D Object Detection - Code World

【ICCV 2023】FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

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【ICCV 2023】FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

ICCV 2023 | FocalFormer3D: Solve the problem of false negatives and improve the recall rate of 3D target detection for autonomous driving

ICCV 2023 | 3DPPE: 3D Point Encoding for Surround-View 3D Object Detection

【ICCV 2023】3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers

ICCV 2023 | New SOTA for semi-supervised 3D object detection: dense matching and quantized compensation

ICCV 2023 | ReDB: Revisiting Cross-Domain 3D Object Detection with Reliable, Diverse and Class-Balanced Pseudo-Labels

[3D Object Detection/Autonomous Driving] IA-BEV: Instance-aware 3D object detection based on structural priors and self-reinforcement learning (AAAI 2024)

Point Cloud 3D Weather Data Enhancement- Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in ... (ICCV 2021)

A Survey of Monocular 3D Object Detection

ICCV 2023 Open Source | Killing Waymo! Super powerful 3D target detection paradigm DetZero!

Overview: 3D object detection in RGB-D (Object detection in RGB-D images)

Sliding Shapes for 3D Object Detection in Depth Images

VoxelNext, a fully sparse 3D object detection network

【ICCV 2023】FocalFormer3D: фокус на жестком экземпляре для обнаружения 3D-объектов

ICLR 2023 | Reducing High Annotation Costs in 3D Object Detection Using Active Learning

CVPR 2023 | LoGoNet: Outperforming all state-of-the-art 3D object detection methods!

StreamPETR：Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Image Detection- FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection (ICCVW 2021)

3D box classic paper - "Multimodal 3D Object Detection from Simulated Pretraining" learning record

Position Embedding Transformation for Multi-View 3D Object Detection (PETR: Position Embedding Transformation for Multi-View 3D Object Detection)

【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles

Paper reading-Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Image

3D Collision Detection

3D Vision Series Open Courses: 3D Environment Perception, 3D Object Detection, Point Cloud Segmentation, Point Cloud Registration

Multi-View 3D Object Detection Network for Autonomous Driving

CVPR2020 | Exploration of object visibility information in 3D detection

论文解读：SMOKE：SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

1、CenterPoint: Center-based 3D Object Detection and Tracking 环境配置

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

Paper reading: "Bridging the Gap in 3D Object Detection for Autonomous Driving"

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