Co-occurring keywords
Papers
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
NIPS 2024
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
NIPS 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
CVPR 2024
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
CVPR 2024
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
CVPR 2024
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
AAAI 2024
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
CVPR 2023
Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization
ICCV 2023