Papers with Code 아카이브
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/amohant4/OctConv
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/amol-matkar/Face-Mask-Segmentation
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/amro-kamal/SimSiam-Implementation
https://github.com/amshaker/swiftformer
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
https://github.com/amyzhao11/GANBrain
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/anandchandra50/deep-space
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/anandharaju/Basic_TCN
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
https://github.com/ananyahjha93/swav
Deep Clustering for Unsupervised Learning of Visual Features
https://github.com/anastasios-stamoulis/deep-learning-with-csharp-and-cntk
https://github.com/anbai106/mlni
https://github.com/andersoncarlosfs/image_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/andi611/Mockingjay-Speech-Representation
https://github.com/andravin/algebranets
https://github.com/andreacos/gan-generated-face-detection
Xception: Deep Learning with Depthwise Separable Convolutions
https://github.com/andrearama/Deep-Auxiliary-Classifier-GAN
https://github.com/andreasveit/densenet-pytorch
https://github.com/andreblumenau/Contemporary-Neural-Network
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
https://github.com/andresmanzalini/ClasificacionGeneroMusical_DL
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network
https://github.com/andrewbespaly/canvas_character_recognition
https://github.com/andrewilyas/ens-adv-train-attack
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/andrewpku/DCGAN_project
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/andrijdavid/clinical-brain-interface-2020
https://github.com/andychinka/dcase-challenge
https://github.com/andyweizhao/capsule
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
https://github.com/andyweizhao/capsule_text_classification
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
https://github.com/anfidthtn/HAC
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/angelvillar96/FaceEmoji
https://github.com/anguyen8/deepface-emd
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
https://github.com/anguyen8/face-vit
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
https://github.com/anguyen8/sam
https://github.com/anibali/dsnt-pose2d
https://github.com/aniket-patra-1998/FLOWER_RECOGNITION
https://github.com/aniket03/keras_compact_bilnear_CNN
https://github.com/aniket03/pirl_pytorch
Self-Supervised Learning of Pretext-Invariant Representations
https://github.com/anilkarabulut/copy-LeNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.