1.8k citations · 3.8k across the 131 of their papers we have counts for
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Make RepVGG Greater Again: A Quantization-aware Approach
Xiangxiang Chu, Liang Li, Bo Zhang
The tradeoff between performance and inference speed is critical for practical applications. Architecture reparameterization obtains better tradeoffs and it is becoming an increasi…
AeDet: Azimuth-invariant Multi-view 3D Object Detection
Chengjian Feng, Zequn Jie, Yujie Zhong +2
Recent LSS-based multi-view 3D object detection has made tremendous progress, by processing the features in Brid-Eye-View (BEV) via the convolutional detector. However, the typical…
SegViT: Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Zhi Tian, Quan Tang +4
We explore the capability of plain Vision Transformers (ViTs) for semantic segmentation and propose the SegVit. Previous ViT-based segmentation networks usually learn a pixel-level…
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs
Qingyuan Li, Bo Zhang, Xiangxiang Chu
Structured pruning greatly eases the deployment of large neural networks in resource-constrained environments. However, current methods either involve strong domain expertise, requ…
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Chuyi Li, Lulu Li, Hongliang Jiang +15
For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a mult…
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
Zhi Tian, Xiangxiang Chu, Xiaoming Wang +2
We present a simple yet effective fully convolutional one-stage 3D object detector for LiDAR point clouds of autonomous driving scenes, termed FCOS-LiDAR. Unlike the dominant metho…
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
Wangbo Zhao, Kai Wang, Xiangxiang Chu +3
Text-based video segmentation aims to segment the target object in a video based on a describing sentence. Incorporating motion information from optical flow maps with appearance a…
PromptDet: Towards Open-vocabulary Detection using Uncurated Images
Chengjian Feng, Yujie Zhong, Zequn Jie +5
The goal of this work is to establish a scalable pipeline for expanding an object detector towards novel/unseen categories, using zero manual annotations. To achieve that, we make…