Yihong Gong

papers

679

total citations

papers (17)

Few-Shot Class-Incremental Learning

CVPR 2020arXiv

509

citations

ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

CVPR 2024arXiv

100

citations

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

ECCV 2024arXiv

citations

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

ECCV 2024

citations

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning

ICCV 2023arXiv

citations

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

AAAI 2025arXiv

citations

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

CVPR 2025arXiv

citations

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

CVPR 2025arXiv

citations

Towards a Universal Model for Cross-Dataset Crowd Counting

ICCV 2021

citations

Evolving Parameterized Prompt Memory for Continual Learning

AAAI 2024

citations

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning

CVPR 2024

citations

Yihong Gong

papers (17)

Few-Shot Class-Incremental Learning

ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

Towards a Universal Model for Cross-Dataset Crowd Counting

Evolving Parameterized Prompt Memory for Continual Learning

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning

Topology-Preserving Class-Incremental Learning

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning

Autoregressive Visual Tracking

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Autoregressive Sequential Pretraining for Visual Tracking

Learning Endogenous Attention for Incremental Object Detection

papers (17)

Few-Shot Class-Incremental Learning

ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

Towards a Universal Model for Cross-Dataset Crowd Counting

Evolving Parameterized Prompt Memory for Continual Learning

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning

Topology-Preserving Class-Incremental Learning

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning

Autoregressive Visual Tracking

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Autoregressive Sequential Pretraining for Visual Tracking

Learning Endogenous Attention for Incremental Object Detection