Hao (Howard) Tang

Awesome-Fine-Grained-Few-Shot-Learning. The summary of code and paper for few-shot learning in fine-grained recognition

FS-KTN. [ICCV19&TNNLS23, Highly Cited Paper] Few-Shot Image Recognition with Knowledge Transfer

ConTriNet_RGBT-SOD. [TPAMI 2025, Highly Cited Paper] Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

BSFA-FSFG. [TCSVT 2023, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

AGPF-FSFG. [PR 2022, Highly Cited Paper] Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition

CPSN-OSFG. [IEEE ICIP (2021)] Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition

TCRN-Deraining. A PyTorch implementation of Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining, ICME, 2021

pytorch-cnn-visualizations. Pytorch implementation of convolutional neural network visualization techniques

M3Net. [ACMMM 2023] Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition

plot_demo. 论文里可以用到的实验图示例