Search Results for author:
Found 5 papers, 3 papers with code
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification
Few-shot image classification aims to classify images from unseen novel classes with few samples.
An Empirical Study of Frame Selection for Text-to-Video Retrieval
In this paper, we make the first empirical study of frame selection for TVR.
An Empirical Study of CLIP for Text-based Person Search
TPBS, as a fine-grained cross-modal retrieval task, is also facing the rise of research on the CLIP-based TBPS.
Ranked #4 on
Text based Person Retrieval
on RSTPReid
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
While the fundamental framework of point cloud semantic segmentation has been largely overlooked, with most existing approaches rely on the U-Net architecture by default.
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD
Meanwhile, it is difficult for networks to capture global information in large-scale distributed contexts.
