Papers with Code 아카이브
3D Point Cloud Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 5
- 보존된 평가 기록
- 216
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ictnlp/TLAT-NMT
https://github.com/idiotprofessorchen/bert.github.io
https://github.com/iejMac/ScriptWriter
https://github.com/ikergarcia1996/Simultaneous-Machine-Translation
https://github.com/ikh-innovation/roboweldar-votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/imanlab/deep_movement_primitives
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/insigh/THUMT
https://github.com/irmvlab/point-mamba
https://github.com/ishritam/Image-captioning-with-visual-attention
https://github.com/isl-org/Open3D-ML
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/ismav/sparseNMF
https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://github.com/jageshmaharjan/BERT_Service
https://github.com/jaisenbe58r/NLP-Transformer_Translator
https://github.com/jamesdvance/predicting_clicks
https://github.com/jangjoongkeon/JK
https://github.com/jbdel/OMG_UMONS_submission
https://github.com/jean-kunz/ml_research_papers
https://github.com/jelifysh/Transformers
https://github.com/jeongchanyoung-1234/De-En-NMT
https://github.com/jgcbrouns/Introducing-Sparsity-in-the-Transformer
https://github.com/jiahuei/Self-Critical-SCST-TensorFlow
https://github.com/jimmy15923/unsup_point_coseg
https://github.com/jinzhenfan/BERT
https://github.com/jmnolte/hccnet
https://github.com/joebluems/Soul_Of_AI
https://github.com/johnsonsign/mast-pre
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/joongbo/tta
https://github.com/joyhsu0504/ns3d
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/joytianya/google_bert
https://github.com/jtpils/treegan
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/julie-tang00/point-bert
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
https://github.com/junhahyung/bert_finetune
https://github.com/junhahyung/bert_transfer
https://github.com/jxl152/Point-Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.