Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/rahzaazhar/Test-Remote
https://github.com/rainofmine/Face_Attention_Network
https://github.com/raisinglc/object_detection_SSD
https://github.com/rajatashhpa/1
https://github.com/rajatkoner08/Graphhopper
Scenes and Surroundings: Scene Graph Generation using Relation Transformer
https://github.com/rajatmodi62/occludedactionbenchmark
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
https://github.com/rajs25/Object-Detection
https://github.com/ram81/il_rl_baselines
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
https://github.com/raphael-cohen/capsnet_for_Faster-RCNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/raphaelsulzer/dsr-benchmark
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/raphaelsulzer/dsrv-data
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/raspstephan/sugar-flower-fish-or-gravel
https://github.com/rauleun/point-transformer-tf2
https://github.com/raunak222/Image-Captioning
https://github.com/ravenwritingdesk/py-faster-rcnn-master
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/ravi02512/efficientdet-keras
https://github.com/ravi0531rp/DeepDrive
https://github.com/ravindra579/object-detection_yolov4
https://github.com/ravindu-yasas-nagasinghe/kepp
Multiclass Confidence and Localization Calibration for Object Detection
https://github.com/rayanramoul/Active-Object-Localization-Deep-Reinforcement-Learning
https://github.com/raycad/object-detection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/raymon-tian/hourglass-facekeypoints-detection
https://github.com/raysr/Active-Object-Localization-Deep-Reinforcement-Learning
https://github.com/realdingke/mscai_softwareengineering_project
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/rebeccagio/object_detection
https://github.com/rechardchen123/YOLOv4_traffic_sign_detection
https://github.com/redwankarimsony/darknet-yolov4-working
https://github.com/rehg-lab/lowshot-shapebias
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
https://github.com/remydubois/lsnms
https://github.com/renmengye/rec-attend-public
https://github.com/researchmm/SiamDW
https://github.com/researchmm/WSOD2
https://github.com/rfribeiro/face_detection
https://github.com/rfribeiro/face_detection_landmarks
https://github.com/rh01/fast-rnn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.