https://github.com/Amaranth819/3dr2n2-tensorflow
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Deeply supervised salient object detection with short connections
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Object Detection Through Exploration With A Foveated Visual Field
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.