Papers with Code 아카이브

3D Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

1

보존된 평가 기록

2

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/suryanshkumar/online-joint-depthfusion-and-semantic

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

https://github.com/umass-foundation-model/3d-llm

3D-LLM: Injecting the 3D World into Large Language Models

https://github.com/west-gates/3DCNN-Vis

Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification

https://github.com/yongheng1991/3D-point-capsule-networks

3D Point Capsule Networks

https://github.com/zb12138/sph3d

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

https://github.com/zb12138/sph3dR

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

https://github.com/zrrskywalker/point-bind

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

https://github.com/zrrskywalker/pointclip

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.