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인공지능학과 대학원생의 무작정 논문 리뷰
[ICML 2024] Do Topological Characteristics Help in Knowledge Distillation?
Relation-Aware Graph Attention Network for Visual Question Answering
On Representation Knowledge Distillation for Graph Neural Networks
Border-SegGCN
PolarMask: Single Shot Instance Segmentation with Polar Representation
CvT: Introducing Convolutions to Vision Transformers
Benchmarking Detection Transfer Learning with Vision Transformers
Student Customized Knowledge Distillation: Bridging the Gap Between student and Teacher
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?