Machine learning for image processing

Could the BubbleView metaphor be used to infer visual attention on 3D graphical content ?

SEMANTIC CENTRALIZED CONTRASTIVE LEARNING FOR UNSUPERVISED HASHING

Learning how to learn domain-invariant parameters for domain generalization

Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data

Semi-Supervised Domain Generalization with Graph-based Classifier

Clean Sample Guided Self-Knowledge Distillation For Image Classification

LGViT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification

ENABLING LARGE-SCALE IMAGE SEARCH WITH CO-ATTENTION MECHANISM

Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU And GPU

Multi-Modal Approach to Food Classification Diet Tracking System with spoken and visual inputs

CROSS-MODAL MATCHING AND ADAPTIVE GRAPH ATTENTION NETWORK FOR RGB-D SCENE RECOGNITION

Dynamic Local and Global Context Exploration For Small Object Detection