https://github.com/YeongChanLee/WonDerM_ISIC2018_SkinLesionAnalysis
공식 코드WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Algorithms trying to solve the general task of classification.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
Sushi Dish - Object detection and classification from real images
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Hallucinating Optical Flow Features for Video Classification
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Towards Recognizing Phrase Translation Processes: Experiments on English-French
Label Contrastive Coding based Graph Neural Network for Graph Classification
Deep Semantic Dictionary Learning for Multi-label Image Classification
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Gated Transformer Networks for Multivariate Time Series Classification
Derivative Delay Embedding: Online Modeling of Streaming Time Series
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
Music Artist Classification with Convolutional Recurrent Neural Networks
NatCat: Weakly Supervised Text Classification with Naturally Annotated Resources
Unsupervised Label Refinement Improves Dataless Text Classification
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.