4 papers
MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
Jiahao Xu, Sheng Huang, Xin Zhang +3
In computational pathology, few-shot whole slide image classification is primarily driven by the extreme scarcity of expert-labeled slides. Recent vision-language methods incorpora…
MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism
Zhixiong Nan, Xianghong Li, Jifeng Dai +1
Based on analyzing the character of cascaded decoder architecture commonly adopted in existing DETR-like models, this paper proposes a new decoder architecture. The cascaded decode…
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
Zhixiong Nan, Yilong Chen, Tianfei Zhou +1
This paper addresses the problem of on-road object importance estimation, which utilizes video sequences captured from the driver's perspective as the input. Although this problem…
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
Zhixiong Nan, Xianghong Li, Tao Xiang +1
This paper is motivated by an interesting phenomenon: the performance of object detection lags behind that of instance segmentation (i.e., performance imbalance) when investigating…