https://github.com/airotau/pointpillarshailoinnoviz
공식 코드Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI Accelerator
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI Accelerator
Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets
3D Semantic Scene Perception using Distributed Smart Edge Sensors
3D Semantic Scene Perception using Distributed Smart Edge Sensors
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environmen
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
Density Crop-guided Semi-supervised Object Detection in Aerial Images
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields
Slim-neck by GSConv: A lightweight-design for real-time detector architectures
From Text to Context: An Entailment Approach for News Stakeholder Classification
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers
Abstractive Summarization of Spoken andWritten Instructions with BERT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.