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一种相比OpenCV ORB特征提取原方案能够更加均匀地、精准地提取ORB特征点的方法,使用图像金字塔和四叉树方法,具有局部阈值.....等等
「大模型」3小时完全从0训练一个仅有26M的小参数GPT,个人显卡即可推理训练!
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Official implementation of CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images
[CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection(CVPR 2024)
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
3D LiDAR Object Detection using YOLOv8-obb (oriented bounding box).
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)
[ICRA2023] D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence
RagNet3D: Learning Distinguishable Representation for Pooled Grids in 3D Object Detection
[NeurIPS 2023] Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
AAAI2024 - Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
IJCAI2024 (RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM)
[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
[IEEE T-IV] This is the official implementation of Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
[ECCV'24] LISO: Lidar-only Self-Supervised 3D Object Detection
[ICRA 2024] Official code for BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection
[PRCV 2023] Supplemental material and code of 'OKGR: Occluded Keypoint Generation and Refinement for 3D Object Detection'.
ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.
Codes for ICLR 2024: "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"
[ECCV 2024] Towards Stable 3D Object Detection
An End-to-end Depth-assisted Transformer Network for Monocular 3D Object Detection
[ECCV 2024] This is the official implementation of Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection.
(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection