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Zero-Shot Transfer 3D Point Cloud Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
Uni3D: Exploring Unified 3D Representation at Scale
ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
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
PointCLIP: Point Cloud Understanding by CLIP
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.