3 papers
cs.CV2026
FineGen: A VLM-based Multi-Agent Framework for Fine-Grained Image-Text Dataset Construction
Chang Kong, Yuebing Li, Peng Mo +2
The scarcity of hard negative samples in current vision-language datasets significantly hinders fine-grained perception. To address this, we propose FineGen, a VLM-based Multi-Agen…
cs.CV2026
PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification
Qiuming Luo, Yuebing Li, Feng Li +1
Distilling knowledge from large Vision-Language Models (VLMs) into lightweight networks is crucial yet challenging in Fine-Grained Visual Classification (FGVC), due to the reliance…
cs.AI2025
AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems
Yun Piao, Hongbo Min, Hang Su +28
The rapid advancement of Large Language Models (LLMs) is catalyzing a shift towards autonomous AI Agents capable of executing complex, multi-step tasks. However, these agents remai…