3 papers
cs.CV2025
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Mingxiao Ma, Shunyao Zhu, Guoliang Kang
Incremental object detection (IOD) aims to continuously expand the capability of a model to detect novel categories while preserving its performance on previously learned ones. Whe…
cs.CV2024
VISA: Reasoning Video Object Segmentation via Large Language Models
Cilin Yan, Haochen Wang, Shilin Yan +5
Existing Video Object Segmentation (VOS) relies on explicit user instructions, such as categories, masks, or short phrases, restricting their ability to perform complex video segme…
cs.CV2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
Cilin Yan, Haochen Wang, Xiaolong Jiang +4
Contrastive Vision-Language Pre-training(CLIP) demonstrates impressive zero-shot capability. The key to improve the adaptation of CLIP to downstream task with few exemplars lies in…