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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/4ndyparr/DCGAN-landscapes
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/4uiiurz1/pytorch-auto-augment
https://github.com/5m0k3/gwd-efficientdet-pytorch
https://github.com/5m0k3/gwd-yolov5-pytorch
https://github.com/6-dl/darknet_wpb
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
https://github.com/6210612757/facerecognition
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/632652101/VisualizeCNN-Pd
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/63days/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/7ZFG1/Semi-Supervised-Learning-Meta-Pseudo-Learning-
https://github.com/92coorob/facerec2
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
https://github.com/9310gaurav/virtual-adversarial-training
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
https://github.com/96jonesa/StyleGan2-Colab-Demo
https://github.com/A-PolarBear/GoogLeNet
https://github.com/A-Telfer/AugKey
https://github.com/AD2605/Action-Recognition
https://github.com/AFAgarap/malware-classification
https://github.com/AFAgarap/wisconsin-breast-cancer
https://github.com/AI-Huang/SENet
https://github.com/AI-NERC-NUPT/DDB
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/AI-NERC-NUPT/PFH-OSNet
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/AI-NERC-NUPT/PLR-OSNet
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/AIM-SKKU/TVQ
https://github.com/AIOSYM/dl-model-gallery
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation
https://github.com/AKASH2907/bird-species-classification
https://github.com/AKASH2907/bird_species_classification
https://github.com/AKASH2907/indian_landmark_recognition
https://github.com/AKASHKADEL/dcgan-celeba
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/AKASHKADEL/dcgan-mnist
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/Aarav-Patel/darknet
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval
https://github.com/Abdulk084/Chemception
https://github.com/Abdulrahman-Adel/Real-Life-Violence-Detection
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/Abdulrahman-Adel/Skin-Cancer-Detection
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.