Papers with Code 아카이브

3D Instance Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

9

보존된 평가 기록

79

코드

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

https://github.com/boom85423/Cartoon-style-Stickers-Generator

Mask R-CNN

https://github.com/bowu1004/instance_segmentation_RealSense

Mask R-CNN

https://github.com/busyboxs/What-I-have-star

Mask R-CNN

https://github.com/busyboxs/faster_rcnn_voc

Mask R-CNN

https://github.com/c3210927/point_cnn

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/casiopa/Madrid_Rooftops

Mask R-CNN

https://github.com/charlesYangM/py-faster-rcnn-80.28

Mask R-CNN

https://github.com/charlesshang/fastmaskrcnn

Mask R-CNN

https://github.com/chenwuperth/ClaRAN

Mask R-CNN

https://github.com/chenyizi086/wu.2023.sigspatial

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/chihyanghsu0805/object_detection_yolo

Mask R-CNN

https://github.com/chinakook/PointCNN.MX

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/chuanqichen/deepcoaching

Mask R-CNN

https://github.com/code-implementation1/Code9/tree/main/MaskRCNN/maskrcnn_mobilenetv1

Mask R-CNN

https://github.com/cokowpublic/Nuclei-Segmentation

Mask R-CNN

https://github.com/collectionslab/Omniscribe

Mask R-CNN

https://github.com/collectionslab/annotations-computervision

Mask R-CNN

https://github.com/collectionslab/book-annotation-classification

Mask R-CNN

https://github.com/crowdai/crowdai-mapping-challenge-mask-rcnn

Mask R-CNN

https://github.com/cwbabel/faster-cnn

Mask R-CNN

https://github.com/daerduoCarey/partnet_anno_system

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

https://github.com/daerduoCarey/partnet_dataset

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

https://github.com/delldu/MaskRCNN

Mask R-CNN

https://github.com/deolipankaj/Stone_Detection_MRCNN

Mask R-CNN

https://github.com/devsoft123/fast-cnn

Mask R-CNN

https://github.com/dream-chaser/pointcnn_for_3DFER

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/dsc1126/RPGN

https://github.com/dsc1126/RWSeg

Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision

https://github.com/dvl-tum/motsynth-baselines

Mask R-CNN

https://github.com/dvlab-research/pointgroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

https://github.com/edraizen/molmimic

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/elektronn/elektronn3

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/elonashatri/pitch_mask_rcnn

Mask R-CNN

https://github.com/evaristr/py-faster_rcnn

Mask R-CNN

https://github.com/facebookresearch/detectron

Mask R-CNN

https://github.com/facebookresearch/detectron2

Mask R-CNN

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