https://github.com/megvii-research/co-mining
공식 코드Co-mining: Self-Supervised Learning for Sparsely Annotated 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/megvii-research/genegan
공식 코드GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
https://github.com/megvii-research/petr
공식 코드PETR: Position Embedding Transformation for Multi-View 3D Object Detection
https://github.com/memoatwit/universalperturbation
공식 코드One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
https://github.com/memoryunreal/rgbd-tracking-review
공식 코드https://github.com/mendelxu/mixtraining
공식 코드https://github.com/mengqidyangge/hierkd
공식 코드Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
https://github.com/mentian/object-deformnet
공식 코드Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
https://github.com/mentian/object-posenet
공식 코드https://github.com/mertalbaba/SyNet
공식 코드SyNet: An Ensemble Network for Object Detection in UAV Images
https://github.com/meteahishali/CSENDistance
공식 코드Representation Based Regression for Object Distance Estimation
https://github.com/meyerls/pegasus
공식 코드https://github.com/mfigurnov/sact
공식 코드https://github.com/mgholamikn/ETran
공식 코드https://github.com/mhnasseri/sort_oh
공식 코드Simple online and real-time tracking with occlusion handling
https://github.com/michaelthoreau/SearchAndRescueNet
공식 코드SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
https://github.com/mickaelChen/ReDO
공식 코드https://github.com/mickeykang16/ev3dod
공식 코드Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras
https://github.com/mickeystroller/etypeclus
공식 코드https://github.com/microsoft/DynamicHead
공식 코드Dynamic Head: Unifying Object Detection Heads with Attentions
https://github.com/microsoft/ORBIT-Dataset
공식 코드ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
https://github.com/microsoft/RelationNet2
공식 코드RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
https://github.com/microsoft/RepPoints
공식 코드https://github.com/microsoft/arr-grasp-type-recognition
공식 코드Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
https://github.com/microsoft/regionclip
공식 코드https://github.com/microsoft/scene_graph_benchmark
공식 코드https://github.com/microsoft/transductive-vos.pytorch
공식 코드https://github.com/mig-zh/OODP
공식 코드https://github.com/mihirp1998/Disentangling-3D-Prototypical-Nets
공식 코드Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
https://github.com/mikasa3lili/ssd-monodetr
공식 코드SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection
https://github.com/mikuhatsune/wsod_transfer
공식 코드Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
https://github.com/mileyan/pseudo-LiDAR_e2e
공식 코드https://github.com/milinpatel07/SOTIF-PCOD
공식 코드https://github.com/miltonbd/ECCV_2018_pedestrian_detection_challenege
공식 코드Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
https://github.com/mindgarage-shan/trans_object_detection_survey
공식 코드https://github.com/mindgarage-shan/transformer_object_detection_survey
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.