Image Classification
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Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chengtan9907/simvpv2
https://github.com/chenhong-zhou/OM-Net
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
https://github.com/chenkang121/DANN
https://github.com/chenller/mmseg-extension
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
https://github.com/chenmengyang/rename_later
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/chenyang4/resmooth
RandAugment: Practical automated data augmentation with a reduced search space
https://github.com/chenyouxin113/sota-status-investigation
https://github.com/cherise215/maxstyle
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
https://github.com/chihchenghsieh/multimodal-medical-diagnosis-system
https://github.com/chinesh/Guided_Grad_CAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/chingyaoc/DCL
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/chinhsuanwu/coatnet-pytorch
CoAtNet: Marrying Convolution and Attention for All Data Sizes
https://github.com/chinhsuanwu/mobilevit-pytorch
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
https://github.com/chiqunz/Unsupervised_Models
https://github.com/chizhu/BDC2019
https://github.com/chjort/u2net
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/chl218/DCNN-on-FPGA
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
https://github.com/chldydgh4687/2020-1.VideoCaptioning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/chongruo/detectron2-resnest
https://github.com/chorowski-lab/CPC_audio
https://github.com/chorowski-lab/hcpc
https://github.com/chosj95/PFPNet.pytorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/choudharysneha1708/RSG_Project
Detection of healthy and diseased crops in drone captured images using Deep Learning
https://github.com/chrhenning/hypercl
https://github.com/chris-boson/fashion_mnist
https://github.com/chris-tng/semi-supervised-nlp
https://github.com/chrislauyc/Data-Science-Projects
https://github.com/chrisqqq123/FA-Dist-EfficientNet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/christiansafka/img2vec
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/christianversloot/extra_keras_datasets
https://github.com/christianversloot/keras-cnn
https://github.com/christophmeyer/longboard-pothole-detection
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/chrisway613/MixConv
https://github.com/chrysts/dsn_fewshot
https://github.com/chucooleg/capsnet_for_ner
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.