11 citations · 14 across the 5 of their papers we have counts for
5 papers
Filter Pruning via Filters Similarity in Consecutive Layers
Xiaorui Wang, Jun Wang, Xin Tang +3
Filter pruning is widely adopted to compress and accelerate the Convolutional Neural Networks (CNNs), but most previous works ignore the relationship between filters and channels i…
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking
Yixuan Qiao, Shanshan Zhao, Jun Wang +8
This paper describes the PASH participation in TREC 2021 Deep Learning Track. In the recall stage, we adopt a scheme combining sparse and dense retrieval method. In the multi-stage…
End-to-end speaker diarization with transformer
Yongquan Lai, Xin Tang, Yuanyuan Fu +1
Speaker diarization is connected to semantic segmentation in computer vision. Inspired from MaskFormer \cite{cheng2021per} which treats semantic segmentation as a set-prediction pr…
Visual-Semantic Transformer for Scene Text Recognition
Xin Tang, Yongquan Lai, Ying Liu +2
Modeling semantic information is helpful for scene text recognition. In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (V…
Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval
Afzal Godil, Zhouhui Lian, Helin Dutagaci +3
Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involve…