Search Results for author: Songtao Liu

Found 25 papers, 17 papers with code

Align-DETR: Improving DETR with Simple IoU-aware BCE loss

1 code implementation15 Apr 2023 Zhi Cai, Songtao Liu, Guodong Wang, Zheng Ge, Xiangyu Zhang, Di Huang

We propose a metric, recall of best-regressed samples, to quantitively evaluate the misalignment problem.

object-detection Object Detection

Dynamic Grained Encoder for Vision Transformers

1 code implementation NeurIPS 2021 Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng

Specifically, we propose a Dynamic Grained Encoder for vision transformers, which can adaptively assign a suitable number of queries to each spatial region.

Image Classification Language Modelling +2

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation

no code implementations3 Dec 2022 En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao

VLM joints the information in the generated visual prompts and the textual prompts from a pre-defined Trackbook to obtain instance-level pseudo textual description, which is domain invariant to different tracking scenes.

Domain Generalization Multi-Object Tracking +1

FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning

1 code implementation30 Sep 2022 Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu

Current strategies use a decoupled approach of single-step retrosynthesis models and search algorithms, taking only the product as the input to predict the reactants for each planning step and ignoring valuable context information along the synthetic route.

Drug Discovery In-Context Learning +3

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

1 code implementation22 Jul 2022 Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng

Many point-based 3D detectors adopt point-feature sampling strategies to drop some points for efficient inference.

3D Object Detection object-detection

StreamYOLO: Real-time Object Detection for Streaming Perception

no code implementations21 Jul 2022 Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun

In this paper, we explore the performance of real time models on this metric and endow the models with the capacity of predicting the future, significantly improving the results for streaming perception.

Autonomous Driving Object +2

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

2 code implementations6 Jul 2022 HongYu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun

To date, the most powerful semi-supervised object detectors (SS-OD) are based on pseudo-boxes, which need a sequence of post-processing with fine-tuned hyper-parameters.

object-detection Object Detection +2

Real-time Object Detection for Streaming Perception

1 code implementation CVPR 2022 Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun

In this paper, instead of searching trade-offs between accuracy and speed like previous works, we point out that endowing real-time models with the ability to predict the future is the key to dealing with this problem.

 Ranked #1 on Real-Time Object Detection on Argoverse-HD (Full-Stack, Val) (sAP metric, using extra training data)

Autonomous Driving Object +2

Local Augmentation for Graph Neural Networks

1 code implementation8 Sep 2021 Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

To address this, we propose a simple and efficient data augmentation strategy, local augmentation, to learn the distribution of the node features of the neighbors conditioned on the central node's feature and enhance GNN's expressive power with generated features.

Open-Ended Question Answering

YOLOX: Exceeding YOLO Series in 2021

36 code implementations18 Jul 2021 Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

Autonomous Driving Real-Time Object Detection

OTA: Optimal Transport Assignment for Object Detection

2 code implementations CVPR 2021 Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun

Recent advances in label assignment in object detection mainly seek to independently define positive/negative training samples for each ground-truth (gt) object.

Object object-detection +1

Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

1 code implementation19 Jan 2021 Zeming Li, Songtao Liu, Jian Sun

The teacher's weight is a momentum update of the student, and the teacher's BN statistics is a momentum update of those in history.

Self-Supervised Learning

LLA: Loss-aware Label Assignment for Dense Pedestrian Detection

1 code implementation12 Jan 2021 Zheng Ge, JianFeng Wang, Xin Huang, Songtao Liu, Osamu Yoshie

A joint loss is then defined as the weighted summation of cls and reg losses as the assigning indicator.

object-detection Object Detection +1

Self-EMD: Self-Supervised Object Detection without ImageNet

no code implementations27 Nov 2020 Songtao Liu, Zeming Li, Jian Sun

Our Faster R-CNN (ResNet50-FPN) baseline achieves 39. 8% mAP on COCO, which is on par with the state of the art self-supervised methods pre-trained on ImageNet.

Object object-detection +2

BorderDet: Border Feature for Dense Object Detection

2 code implementations ECCV 2020 Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun

In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.

Dense Object Detection Object +1

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

4 code implementations ECCV 2020 Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang

Few-shot object detection (FSOD) helps detectors adapt to unseen classes with few training instances, and is useful when manual annotation is time-consuming or data acquisition is limited.

Few-Shot Object Detection Object +1

AutoAssign: Differentiable Label Assignment for Dense Object Detection

2 code implementations7 Jul 2020 Benjin Zhu, Jian-Feng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun

During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.

Dense Object Detection Object +1

Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

no code implementations CVPR 2020 Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang

Thanks to this coarse-to-fine feature adaptation, domain knowledge in foreground regions can be effectively transferred.

object-detection Object Detection

Learning Spatial Fusion for Single-Shot Object Detection

1 code implementation21 Nov 2019 Songtao Liu, Di Huang, Yunhong Wang

Pyramidal feature representation is the common practice to address the challenge of scale variation in object detection.

Object object-detection +1

Higher-order Weighted Graph Convolutional Networks

no code implementations11 Nov 2019 Songtao Liu, Lingwei Chen, Hanze Dong, ZiHao Wang, Dinghao Wu, Zengfeng Huang

Graph Convolution Network (GCN) has been recognized as one of the most effective graph models for semi-supervised learning, but it extracts merely the first-order or few-order neighborhood information through information propagation, which suffers performance drop-off for deeper structure.

Node Classification

Receptive Field Block Net for Accurate and Fast Object Detection

7 code implementations ECCV 2018 Songtao Liu, Di Huang, Yunhong Wang

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs.

object-detection Real-Time Object Detection

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