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Supervised Only 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.
Point Cloud Mamba: Point Cloud Learning via State Space Model
Decoupled Local Aggregation for Point Cloud Learning
Self-positioning Point-based Transformer for Point Cloud Understanding
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Surface Representation for Point Clouds
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Dynamic Graph CNN for Learning on Point Clouds
Attention Is All You Need
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.