https://github.com/zhaoweicai/mscnn
공식 코드A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Papers with Code 아카이브
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhaoxiangyun/morphable-detector
공식 코드https://github.com/zhaoxing2022/mmn-vsod
공식 코드Motion-aware Memory Network for Fast Video Salient Object Detection
https://github.com/zhaoxuli123/specdetr
공식 코드SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network
https://github.com/zhechen/Condensing2stageDetection
공식 코드Condensing Two-stage Detection with Automatic Object Key Part Discovery
https://github.com/zhen6618/obbinstancesegmentation
공식 코드https://github.com/zhengbo-zhang/fade
공식 코드FADE: A Dataset for Detecting Falling Objects around Buildings in Video
https://github.com/zhengpeng7/cosod_fps_collection
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengpeng7/gconet_plus
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengxyun/surface-sos
공식 코드Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
https://github.com/zhengye1995/BLC
공식 코드https://github.com/zhengziqiang/ReshapeGAN
공식 코드ReshapeGAN: Object Reshaping by Providing A Single Reference Image
https://github.com/zhenpeiyang/hm3d-abo
공식 코드HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
https://github.com/zhenxili96/MFST
공식 코드Multiple Convolutional Features in Siamese Networks for Object Tracking
https://github.com/zheyangh/ocgnet
공식 코드Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
https://github.com/zhihou7/HOI-CL
공식 코드Detecting Human-Object Interaction via Fabricated Compositional Learning
https://github.com/zhihou7/HOI-CL-OneStage
공식 코드Affordance Transfer Learning for Human-Object Interaction Detection
https://github.com/zhihou7/VCL
공식 코드Visual Compositional Learning for Human-Object Interaction Detection
https://github.com/zhihou7/scl
공식 코드Discovering Human-Object Interaction Concepts via Self-Compositional Learning
https://github.com/zhimengxin/rcod
공식 코드Toward Realistic Camouflaged Object Detection: Benchmarks and Method
https://github.com/zhimin-c/bridge3d
공식 코드Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
https://github.com/zhiqic/procontext
공식 코드ProContEXT: Exploring Progressive Context Transformer for Tracking
https://github.com/zhiqic/rethinking-counting
공식 코드Rethinking Spatial Invariance of Convolutional Networks for Object Counting
https://github.com/zhiqin1998/bdc
공식 코드Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
https://github.com/zhishenhuang/mri
공식 코드Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
https://github.com/zhiweihhh/cvpr2022-rvos-challenge
공식 코드1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
https://github.com/zhongping-zhang/sgc_net
공식 코드https://github.com/zhouhaocv/RLM-Net
공식 코드https://github.com/zhouhuang23/fspnet
공식 코드Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
https://github.com/zhouhuang23/sba-net
공식 코드https://github.com/zhoujingchun03/amsp-uod
공식 코드AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
https://github.com/zhouqiu/sogdet
공식 코드SOGDet: Semantic-Occupancy Guided Multi-view 3D Object Detection
https://github.com/zhoustan/camsam2
공식 코드https://github.com/zhouzheyuan/sgm3d
공식 코드https://github.com/zht8506/qmvos
공식 코드https://github.com/zhufengdaaa/soon
공식 코드SOON: Scenario Oriented Object Navigation with Graph-based Exploration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.