DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition

In this work we tackle the challenging problem of anime character recognition. Anime, referring to animation produced within Japan and work derived or inspired from it... (read more)

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Methods used in the Paper


METHOD TYPE
Dense Connections
Feedforward Networks
Layer Normalization
Normalization
Scaled Dot-Product Attention
Attention Mechanisms
BPE
Subword Segmentation
Label Smoothing
Regularization
Adam
Stochastic Optimization
Average Pooling
Pooling Operations
Dropout
Regularization
Softmax
Output Functions
Multi-Head Attention
Attention Modules
1x1 Convolution
Convolutions
Transformer
Transformers
ReLU
Activation Functions
Residual Connection
Skip Connections
Batch Normalization
Normalization
Vision Transformer
Image Models
Max Pooling
Pooling Operations
Global Average Pooling
Pooling Operations
Bottleneck Residual Block
Skip Connection Blocks
Residual Block
Skip Connection Blocks
Kaiming Initialization
Initialization
Convolution
Convolutions
ResNet
Convolutional Neural Networks