Papers with Code 아카이브
Object
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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/hlzhang109/ddg
Domain Generalization for Object Recognition with Multi-task Autoencoders
https://github.com/hnmspirit/malaria_centernet
https://github.com/hoangcuongbk80/VoteGrasp
https://github.com/hoanguyen81190/Synopticon-CenterNet
https://github.com/hoiliu-0801/dntr
https://github.com/hollyprince/ObjectsDetection-CornerNet-Lite
https://github.com/holytrick/AlexeyAB_darknet
https://github.com/hongru-seu/PointPilliar
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/hongtaowu67/container_imagine
Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body
https://github.com/honzukka/texture-synthesis-pytorch
https://github.com/hoshi23/ood-x-banchmarks
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection
https://github.com/hoshi23/ood-x-benchmarks
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection
https://github.com/houqb/DSS
Deeply supervised salient object detection with short connections
https://github.com/houseleo/pointnet
https://github.com/houssemjebari/Fruit-Detection
https://github.com/hova88/Lidardet
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/hova88/PointPillars_MultiHead_40FPS
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/howBiGaStorm/ZeroShot-YOLO
https://github.com/hpc203/YOLObile-opencv-dnn
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
https://github.com/hqng/imm-pytorch
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/hs2k/pytorch-smoothgrad
https://github.com/hsfzxjy/swavx
https://github.com/hualuluu/--every-day-paper--
https://github.com/huan123/py-fatser-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/huangyebiaoke/R-CNN
https://github.com/huggingface/transformers
https://github.com/hula-ai/DAMA
Exploring Plain Vision Transformer Backbones for Object Detection
https://github.com/hunglc007/tensorflow-yolov4-tflite
https://github.com/hunter10bt/DeepLearningFinalPresentation
https://github.com/huofushuo/SID
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
https://github.com/husty530/Yamashita-darknet
https://github.com/hutgun11/muti_object_tracking_re3
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/huyhieupham/learning-from-multiple-annotators
Weighted boxes fusion: Ensembling boxes from different object detection models
https://github.com/huytranvan2010/RetinaNet-Understanding
https://github.com/huytranvan2010/SSD
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.