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

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

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

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

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

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

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

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

ICCV 2023 | 3DPPE: Codificação de Ponto 3D para Detecção de Objeto 3D Surround-View

ICCV 2023 | Tsinghua & Tianjin University Proposed SurroundOcc: Surround View 3D Occupancy Grid Prediction for Autonomous Driving

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

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

A Survey of Monocular 3D Object Detection

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

Paper reading: EPNet: Enhancing Point Features with ImageSemantics for 3D Object Detection

Interpretation of the paper｜VoxelNet: End-to-end learning for point cloud-based 3D object detection

Object Detection and Visualization Based on 3D Point Cloud and Image Fusion

3D point cloud object detection: visualization and application experience of data enhancement technology

Read the notes Deep Hough Voting for 3D Object Detection in Point Clouds

LPCG: Guided Monocular 3D Object Detection with Laser Point Clouds

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

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

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

14.CAPE：Camera View Position Embedding for Multi-View 3D Object Detection笔记

3d detection point cloud model pointpillar

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Multi-View 3D Object Detection Network for Autonomous Driving

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