Papers with Code 아카이브
Object Proposal Generation
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Object proposal generation is a preprocessing technique that has been widely used in current object detection pipelines to guide the search of objects and avoid exhaustive sliding window search across images.
<span style="color:grey; opacity: 0.6">( Image credit: Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping
공식 코드https://github.com/byangderek/CCF
공식 코드https://github.com/casia-iva-lab/fastsam
공식 코드https://github.com/chwilms/AttentionMask
공식 코드AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
https://github.com/chwilms/superpixelRefinement
공식 코드https://github.com/dingmike001/saliendet-open-detection
공식 코드https://github.com/joshuafeinglass/vl-detector-eval
공식 코드https://github.com/larskreuzberg/4d-stop
공식 코드https://github.com/laurimi/ddcrp-gibbs
공식 코드Object proposal generation applying the distance dependent Chinese restaurant process
https://github.com/mmaaz60/mvits_for_class_agnostic_od
공식 코드Class-agnostic Object Detection with Multi-modal Transformer
https://github.com/sshaoshuai/PointRCNN
공식 코드PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/youngsean/nids-net
공식 코드Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
https://github.com/2023-MindSpore-1/ms-code-222/tree/main/pointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/Chrisding/cityscapes-preprocess
https://github.com/Chrisding/sbd-preprocess
https://github.com/Chrisding/seal
https://github.com/KPeng9510/MASS
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/KangchengLiu/RM3D
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/Lavender105/DFF
https://github.com/ModelBunker/PointRCNN-PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/aaronfriedman6/MV3D_VoxelNet
Multi-View 3D Object Detection Network for Autonomous Driving
https://github.com/aimerykong/predictive-filter-flow
https://github.com/alicranck/instance-seg
https://github.com/anirudh-chakravarthy/CASENet
https://github.com/arsenal9971/shearlet_semantic_edge
https://github.com/bostondiditeam/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
https://github.com/carterprice2/Deep_Learning_project
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/cxy1997/3D_adapt_auto_driving
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/direcf/pointrcnn_multiclass
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/isl-org/Open3D-ML
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/jponttuset/mcg
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
https://github.com/jskim808/js_pointrcnn
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/lijiaman/CASENet
https://github.com/luiscarlosgph/videosum
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.