https://github.com/ajayjain/vectorascent
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Object Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 9
- 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/ajithvallabai/getsetgo_keras-beginner
https://github.com/albarji/neurowriter
https://github.com/alcunha/iwildcam2021ufam
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
https://github.com/alegonz/kdsb17
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
https://github.com/alexanderrubinstein/occam
https://github.com/alexattia/ExtendedTinyFaces
https://github.com/alexk1704/scclv2
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/aliayub7/cbcl-pr
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
https://github.com/alibaba-damo-academy/VCBench
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
https://github.com/alibaba/EasyCV
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/alibaba/EasyNLP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/amerch/CIFAR100-Training
Why do deep convolutional networks generalize so poorly to small image transformations?
https://github.com/amobiny/Recurrent_Attention_Model
https://github.com/andreasveit/densenet-pytorch
https://github.com/anguyen8/sam
https://github.com/annstrange/breast-cancer-cnn
https://github.com/anonymous-koala-supporter/adversarial-deep-metric-learning
https://github.com/anonymousmlsubmission/datadistributiontransfer
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/anoushkt/neural-chessboard-draft
Chessboard and chess piece recognition with the support of neural networks
https://github.com/anoushkt/neural_chessboard_draft
Chessboard and chess piece recognition with the support of neural networks
https://github.com/anshulpaigwar/pointwise-convolutional-neural-network
https://github.com/apacha/OMR-Datasets
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects
https://github.com/apoorvagnihotri/big-little-net
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
https://github.com/apple/ml-mobileclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/applecrumble123/SimCLR_pytorch
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/armaank/archlectures
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/arnab39/equiadapt
https://github.com/arnavdodiedo/DenseNet-Fashion-MNIST
https://github.com/arnavdodiedo/DenseNet-MNIST
https://github.com/arsenal9971/shearlet_semantic_edge
https://github.com/asad-62/IVP-DNN
https://github.com/asd08573064/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/asprenger/keras_fc_densenet
https://github.com/atapour/ransomware-classification
https://github.com/athar71/Object_Detection_Enhancement_with_RBG-D_Data
Multimodal Deep Learning for Robust RGB-D Object Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.