45 citations · 99 across the 9 of their papers we have counts for
9 papers
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
Shubo Lin, Yutong Kou, Zirui Wu +4
While existing query-based 3D end-to-end visual trackers integrate detection and tracking via the tracking-by-attention paradigm, these two chicken-and-egg tasks encounter optimiza…
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training
Jin Gao, Shubo Lin, Shaoru Wang +7
Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features.…
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Shaoru Wang, Zeming Li, Jin Gao +2
Self-supervised learning (SSL) has achieved promising downstream performance. However, when facing various resource budgets in real-world applications, it costs a huge computation…
Narrowing the Gap: Improved Detector Training with Noisy Location Annotations
Shaoru Wang, Jin Gao, Bing Li +1
Deep learning methods require massive of annotated data for optimizing parameters. For example, datasets attached with accurate bounding box annotations are essential for modern ob…
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang, Jin Gao, Zeming Li +2
Self-supervised learning on large-scale Vision Transformers (ViTs) as pre-training methods has achieved promising downstream performance. Yet, how much these pre-training paradigms…
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
Zongyang Ma, Guan Luo, Jin Gao +5
Open-vocabulary object detection aims to detect novel object categories beyond the training set. The advanced open-vocabulary two-stage detectors employ instance-level visual-to-vi…
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
Zhenbang Li, Yaya Shi, Jin Gao +4
Siamese trackers are shown to be vulnerable to adversarial attacks recently. However, the existing attack methods craft the perturbations for each video independently, which comes…
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
Li Yang, Yan Xu, Shaoru Wang +4
Recent one-stage object detectors follow a per-pixel prediction approach that predicts both the object category scores and boundary positions from every single grid location. Howev…
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
Shaoru Wang, Yongchao Gong, Junliang Xing +3
Object detection and instance segmentation are two fundamental computer vision tasks. They are closely correlated but their relations have not yet been fully explored in most previ…