Pattern recognition and classification

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

DTTR: DETECTING TEXT WITH TRANSFORMERS

SuperCM: Revisiting Clustering for Semi-Supervised Learning