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/PaddlePaddle/PaddleDetection/tree/develop/configs/mot
https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/smalldet
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vitdet
Exploring Plain Vision Transformer Backbones for Object Detection
https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
https://github.com/PaddlePaddle/PaddleOCR
https://github.com/PaddlePaddle/PaddleScience
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking
https://github.com/PaddlePaddle/PaddleSeg
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/en/model_zoo/segmentation/cfbi.md
Collaborative Video Object Segmentation by Foreground-Background Integration
https://github.com/PaddlePaddle/PaddleYOLO
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/PanoAsh/SHD360
F3Net: Fusion, Feedback and Focus for Salient Object Detection
https://github.com/Paperspace/hyperopt-keras-sample
https://github.com/Papirapi/Few_shot-learning-for-Object-Detection
https://github.com/PaulZhangIsing/CaffeSSD-opencv4
https://github.com/Pchank/caffe-sal
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
https://github.com/Pedestrian1671022/darknet
https://github.com/PenK1nG/DroneMOT
https://github.com/PengchengAi/tf-faster-rcnn-pcai
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/Pepitaw/darknet
https://github.com/PericlesPet/darknet-demo
https://github.com/PeterTKovacs/zold137
https://github.com/PetersonSilvadeJesus/yolov3-data-images
https://github.com/PettyDevil/caffe_ssd
https://github.com/PhanTom2003/SSD
https://github.com/PierrickPochelu/word_tree_label
https://github.com/Ping-C/CertifiedObjectDetection
Detection as Regression: Certified Object Detection by Median Smoothing
https://github.com/PingoLH/CenterNet-HarDNet
https://github.com/PiseyYou/MobileNet_Caffe_Configuration
https://github.com/Pointcept/GPT4Point
PointLLM: Empowering Large Language Models to Understand Point Clouds
https://github.com/PointsCoder/VOTR
https://github.com/PolarisAlpha/darknet
https://github.com/Popoooo/darknet_test
https://github.com/Poseidon0711/Autonomous-driving-application---Car-detection
https://github.com/Pranav21091996/Semantic_Fidelity-and-Egoshots
https://github.com/Prinsphield/GeneGAN
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
https://github.com/ProsusAI/continual-object-instances
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.