https://github.com/zshanggu/cdmm
공식 코드Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Papers with Code 아카이브
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zshanggu/htrpn
공식 코드Identification of Novel Classes for Improving Few-Shot Object Detection
https://github.com/zsyasd/excavating-roi-attention-for-underwater-object-detection
공식 코드https://github.com/ztt1024/densessl
공식 코드De-coupling and De-positioning Dense Self-supervised Learning
https://github.com/zty0304/sgdraw
공식 코드SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
https://github.com/zubair-irshad/shapo
공식 코드ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
https://github.com/zwbgood6/deform
공식 코드Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
https://github.com/zyang-ur/SAT
공식 코드https://github.com/zyjwuyan/BBS-Net
공식 코드Bifurcated backbone strategy for RGB-D salient object detection
https://github.com/zyn-1101/dandr
공식 코드https://github.com/zyn213/temprmot
공식 코드https://github.com/zyong812/stip
공식 코드https://github.com/zyp123494/dynavol
공식 코드Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
https://github.com/zyrant/cpdet3d
공식 코드Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
https://github.com/zyszxhy/fora
공식 코드FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network
https://github.com/zyw-stu/CPA-Enhancer
공식 코드https://github.com/zzh-tech/interpany-clearer
공식 코드Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation
https://github.com/zzh-tju/zoneeval
공식 코드https://github.com/zzy-zhou/dsec-mos
공식 코드Event-Free Moving Object Segmentation from Moving Ego Vehicle
https://github.com/zzy816/com
공식 코드Curricular Object Manipulation in LiDAR-based Object Detection
https://github.com/zzy816/corp
공식 코드Co-Salient Object Detection with Co-Representation Purification
https://github.com/zzyunzhi/object-intrinsics
공식 코드https://github.com/zzzbbbzzz/mulsen-ad
공식 코드Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties
https://gitlab.au.dk/maleci/opendr/opendr_internal
공식 코드VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
https://gitlab.au.dk/maleci/opendr/ua-ab3dmot
공식 코드Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
https://gitlab.au.dk/maleci/opendr/variational-voxel-3d-detetction
공식 코드Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
https://gitlab.com/EAVISE/jetnet
공식 코드Super accurate low latency object detection on a surveillance UAV
https://gitlab.com/auxilia/cubes3d
공식 코드Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes
https://gitlab.com/jpchen1/em-reconstruction-with-ewald
공식 코드A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy
https://gitlab.com/viper-purdue/monocular-food-volume-3d
공식 코드https://isrc.iscas.ac.cn/gitlab/research/locount-dataset.git
공식 코드https://dagshub.com/Bharat-mtr/DeepFlux
https://dagshub.com/Bharat-mtr/yolov1-tf2
https://gitee.com/gai-shaoyan/mind3d
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/111qqz/caffe-ssd
https://github.com/1170500804/tbmsl
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.