Summary of Imwa: Iterative Model Weight Averaging Benefits Class-imbalanced Learning Tasks, by Zitong Huang et al.
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasksby Zitong Huang, Ze Chen, Bowen Dong,…
Summary of A Review Of Deep Learning-based Information Fusion Techniques For Multimodal Medical Image Classification, by Yihao Li et al.
A review of deep learning-based information fusion techniques for multimodal medical image classificationby Yihao Li,…
Summary of Copronn: Concept-based Prototypical Nearest Neighbors For Explaining Vision Models, by Teodor Chiaburu et al.
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Modelsby Teodor Chiaburu, Frank Haußer, Felix BießmannFirst…
Summary of Nested-tnt: Hierarchical Vision Transformers with Multi-scale Feature Processing, by Yuang Liu et al.
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processingby Yuang Liu, Zhiheng Qiu, Xiaokai QinFirst submitted…
Summary of Exploring Explainability in Video Action Recognition, by Avinab Saha et al.
Exploring Explainability in Video Action Recognitionby Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine,…
Summary of Contrastive-based Deep Embeddings For Label Noise-resilient Histopathology Image Classification, by Lucas Dedieu et al.
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classificationby Lucas Dedieu, Nicolas Nerrienet, Adrien Nivaggioli,…
Summary of Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning, by Andrei Semenov et al.
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learningby Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov,…
Summary of Non-negative Subspace Feature Representation For Few-shot Learning in Medical Imaging, by Keqiang Fan et al.
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imagingby Keqiang Fan, Xiaohao Cai, Mahesan…
Summary of Bayesian Exploration Of Pre-trained Models For Low-shot Image Classification, by Yibo Miao et al.
Bayesian Exploration of Pre-trained Models for Low-shot Image Classificationby Yibo Miao, Yu Lei, Feng Zhou,…
Summary of Diverse Feature Learning by Self-distillation and Reset, By Sejik Park
Diverse Feature Learning by Self-distillation and Resetby Sejik ParkFirst submitted to arxiv on: 29 Mar…