activity
20202026
most citedSTAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning

10 citations · 23 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

LightOcc: Lightweight Spatial Embedding for Efficient Vision-based 3D Occupancy Prediction

Jinqing Zhang, Yanan Zhang, Wenrui Cai +2

Occupancy prediction has garnered increasing attention in recent years for its comprehensive fine-grained environmental representation and strong generalization to open-set objects…

cs.CV2024

Centerness-based Instance-aware Knowledge Distillation with Task-wise Mutual Lifting for Object Detection on Drone Imagery

Bowei Du, Zhixuan Liao, Yanan Zhang +3

Developing accurate and efficient detectors for drone imagery is challenging due to the inherent complexity of aerial scenes. While some existing methods aim to achieve high accura…

cs.CV2024

GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection

Jinqing Zhang, Yanan Zhang, Yunlong Qi +3

Bird's-Eye-View (BEV) representation has emerged as a mainstream paradigm for multi-view 3D object detection, demonstrating impressive perceptual capabilities. However, existing me…

cs.CV2024

PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection

Yingjie Gao, Yanan Zhang, Ziyue Huang +2

In recent years, Few-Shot Object Detection (FSOD) has gained widespread attention and made significant progress due to its ability to build models with a good generalization power…

cs.CV2024

FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection

Zheng Jiang, Jinqing Zhang, Yanan Zhang +4

Although multi-view 3D object detection based on the Bird's-Eye-View (BEV) paradigm has garnered widespread attention as an economical and deployment-friendly perception solution f…

cs.CV2024★ 10 cited

STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning

Yanan Zhang, Chao Zhou, Di Huang

Existing 3D object detection suffers from expensive annotation costs and poor transferability to unknown data due to the domain gap, Unsupervised Domain Adaptation (UDA) aims to ge…

cs.CV2024★ 3 cited

Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

Yanan Zhang, Jinqing Zhang, Zengran Wang +2

In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction…