https://github.com/ErenO/segmentation-dataset
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects
Papers with Code 아카이브
Object Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 31
Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.
<span style="color:grey; opacity: 0.6">( Image credit: Tensorflow Object Detection API )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux
https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android
https://github.com/FanjieLUO/matlab
https://github.com/Faruk-Ahmed/detecting_semantic_anomalies
https://github.com/FreddeFrallan/Multilingual-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/GSNCodes/Breast_Cancer_Detection_CNN
https://github.com/Gahyeonkim09/AAPL
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Gauravsharma-20/Minor-Project
https://github.com/GenesisDCarmen/C_Reconocimiento_Facial
https://github.com/GeoTrouvetout/Vehicle_ReID
https://github.com/George-Holbrow-Wilshaw/Human-Protein-Atlas-Kaggle
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/GuoQuanhao/Tiny-Face-Paddle
https://github.com/HLinShan/vision_networks
https://github.com/HVision-NKU/Strip-R-CNN
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
https://github.com/HanxunH/XTransferBench
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
https://github.com/Hashir44/muraxray
https://github.com/HighCWu/stylegan2-paddle
https://github.com/HilaManor/Generative-deep-features
https://github.com/HobbitLong/SupContrast
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/HolmesShuan/AIM2020-RealSR
https://github.com/HuynhThanhQuan/skin-detective
https://github.com/IBM/MAX-Object-Detector
https://github.com/IMvision12/keras-vision-models
https://github.com/IcarusWizard/prednet-paddle
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
https://github.com/Insiyaa/IRCNN-keras
Inception Recurrent Convolutional Neural Network for Object Recognition
https://github.com/IuliiaZaitova/code_slingers
https://github.com/JDAI-CV/DCL
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
https://github.com/JTan2231/DenseNet
https://github.com/Jaehoon-Cha-Data/HD-CNN-Hierarchical-Deep-Convolutional-Neural-Network
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
https://github.com/Jagannathrk2020/Face-detection-and-counting-
https://github.com/JakobKallestad/InceptionV3-on-plankton-images
https://github.com/JasonLiTW/simple-railway-captcha-solver
https://github.com/Jastot/Rodinka_Neural_Network
https://github.com/JavierAntoran/pictocatcher
https://github.com/Jeff-HOU/ML_Note
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.