Pattern recognition and classification

Tensorized LSSVMs for Multitask Regression

DEFENDING AGAINST UNIVERSAL PATCH ATTACKS BY RESTRICTING TOKEN ATTENTION IN VISION TRANSFORMERS

Focusing On Targets For Improving Weakly Supervised Visual Grounding

Amicable Aid: Perturbing Images to Improve Classification Performance

OPEN-SET AUTOMATIC TARGET RECOGNITION

BATT: Backdoor Attack with Transformation-based Triggers

AMC-Net: An Effective Network for Automatic Modulation Classification

WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks

Prefix-Level Detection and Autocorrection of Keyboard Input Errors

MCKD: Mutually Collaborative Knowledge Distillation for Federated Domain Adaptation and Generalization

MENDAM: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition

Towards Real-Time Person Search with Invariant Feature Learning