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/hardyqr/cnn-for-stock-market-prediction-pytorch
https://github.com/harisankar95/AdvStyle
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
https://github.com/harry24k/aepw-pytorch
https://github.com/harshalnishar/dcgan_cifar10
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/harshit0511/Deep-Learning
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
https://github.com/harshit17chaudhary/SML_assignment_1
https://github.com/harshp1802/text-dataset-distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
https://github.com/harunshimanto/Neural-Style-Transfer-of-Artistic-Style
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hasanjawad001/cglearn
https://github.com/hashmatshadab/apr
https://github.com/hashmatshadab/mambarobustness
https://github.com/hasibzunair/peekaboo
https://github.com/hatimwen/paddle_pit
https://github.com/hattrickcr7/SoftTeacher
A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/hayoung-kim/tf2-deep-ensemble-uncertainty
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
https://github.com/haysacks/spot-the-coin
https://github.com/hazdzz/SGC
https://github.com/hazyresearch/domino
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
https://github.com/hazyresearch/flash-attention
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
https://github.com/hbchen121/dgreid
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/hbenbel/Colorization
https://github.com/hbzju/solar
https://github.com/hcw-00/STPM_anomaly_detection
Student-Teacher Feature Pyramid Matching for Anomaly Detection
https://github.com/hcygeorge/aoi_defect_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/healthcare-robotics/mr-gan
https://github.com/hebo1221/RandWireNN
Exploring Randomly Wired Neural Networks for Image Recognition
https://github.com/hectic97/DCGAN-pytorch
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/heekhero/DTL
https://github.com/heidongxianhau/deeplab2
https://github.com/helmy-elrais/Semi_Supervised_Learning
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
https://github.com/hemakaraveenhansika/convirt
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/hemantnyadav/GrocerryImageClassification
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels
https://github.com/henriquemeloo/cat-dog-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/henriquemeloo/psi3571-handwriting-recognition
https://github.com/henry32144/wgan-gp-tensorflow
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.