https://github.com/neoques/graph-posterior-network
공식 코드Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
Papers with Code 아카이브
Image Classification
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- 평가표
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- 2,906
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/nerdsresearch/robust-fine-tuning
공식 코드Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
https://github.com/neu-statsml-research/regularized-self-labeling
공식 코드Improved Regularization and Robustness for Fine-tuning in Neural Networks
https://github.com/neu-statsml-research/robust-fine-tuning
공식 코드Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
https://github.com/neugmd/blrm
공식 코드https://github.com/neurai-lab/cude-monodepthcl
공식 코드Continual Learning of Unsupervised Monocular Depth from Videos
https://github.com/neurai-lab/mt-sfmlearner
공식 코드https://github.com/neuralml/burstccn
공식 코드https://github.com/news-vt/makassar-ml
공식 코드A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
https://github.com/ngessert/patch-lesion
공식 코드Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
https://github.com/nguyentthong/Paper-VLP
공식 코드https://github.com/nhshin-mcl/mwr
공식 코드Moving Window Regression: A Novel Approach to Ordinal Regression
https://github.com/nicholas-mei/ood_detection_snojoe
공식 코드Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
https://github.com/nick-nikzad/SATA
공식 코드SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
https://github.com/nick11roberts/XD
공식 코드https://github.com/nickd16/steganographic-augmentations
공식 코드https://github.com/nicolas-dufour/plonk
공식 코드Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
https://github.com/nicolopinci/deepgravilens
공식 코드DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
https://github.com/nik-dim/pamal
공식 코드Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
https://github.com/niko-k98/awesome-list-federated-learning-review
공식 코드Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
https://github.com/nikunj-gupta/efficient_resnets
공식 코드https://github.com/nikunj-gupta/pytorch-cifar
공식 코드https://github.com/nina-weng/shortcut_skinseg
공식 코드https://github.com/ninatu/learning_by_sorting
공식 코드Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
https://github.com/niranjanrajesh02/dcv_src
공식 코드Developmental Pretraining (DPT) for Image Classification Networks
https://github.com/nis-research/afa-augment
공식 코드https://github.com/nis-research/dfmx-augmentation
공식 코드DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
https://github.com/nis-research/nn-frequency-shortcuts
공식 코드What do neural networks learn in image classification? A frequency shortcut perspective
https://github.com/nitin-rathi/hybrid-snn-conversion
공식 코드https://github.com/niusj03/owmatch
공식 코드OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
https://github.com/njohnson99/spotcheck
공식 코드Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
https://github.com/njustkmg/AAAI25-ITP
공식 코드ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
https://github.com/njustkmg/ssoc
공식 코드Robust Semi-Supervised Learning for Self-learning Open-World Classes
https://github.com/njuyued/prg4ssl-mnar
공식 코드Towards Semi-supervised Learning with Non-random Missing Labels
https://github.com/njuyued/rda4robustssl
공식 코드RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
https://github.com/njuyued/soc4ss-fgvc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.