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Training-free 3D Point Cloud Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Evaluation on target datasets for 3D Point Cloud Classification without any training
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
PointCLIP: Point Cloud Understanding by CLIP
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.