Search Results for author: Xiaoqi Zhao

Found 19 papers, 17 papers with code

Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline

1 code implementation5 Dec 2023 Xiaoqi Zhao, Youwei Pang, Zhenyu Chen, Qian Yu, Lihe Zhang, Hanqi Liu, Jiaming Zuo, Huchuan Lu

We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries.

Crowd Counting object-detection +2

Open-Vocabulary Camouflaged Object Segmentation

no code implementations19 Nov 2023 Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu

With the proposed dataset and baseline, we hope that this new task with more practical value can further expand the research on open-vocabulary dense prediction tasks.

Camouflaged Object Segmentation Image Segmentation +4

ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection

1 code implementation31 Oct 2023 Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu

Apart from the high intrinsic similarity between camouflaged objects and their background, objects are usually diverse in scale, fuzzy in appearance, and even severely occluded.

Camouflaged Object Segmentation

Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation

1 code implementation ICCV 2023 Yichen Yuan, Yifan Wang, Lijun Wang, Xiaoqi Zhao, Huchuan Lu, Yu Wang, Weibo Su, Lei Zhang

Recent leading zero-shot video object segmentation (ZVOS) works devote to integrating appearance and motion information by elaborately designing feature fusion modules and identically applying them in multiple feature stages.

Semantic Segmentation Video Object Segmentation +2

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer

1 code implementation23 Jul 2023 Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu

Specifically, unlike existing methods that over-specialize in a single task or a subset of tasks, ComPtr starts from the more general concept of bi-source dense prediction.

Change Detection Crowd Counting +4

M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

2 code implementations20 Mar 2023 Xiaoqi Zhao, Hongpeng Jia, Youwei Pang, Long Lv, Feng Tian, Lihe Zhang, Weibing Sun, Huchuan Lu

Next, we expand the single-scale SU to the intra-layer multi-scale SU, which can provide the decoder with both pixel-level and structure-level difference information.

Computed Tomography (CT) Image Segmentation +3

Towards Diverse Binary Segmentation via A Simple yet General Gated Network

1 code implementation18 Mar 2023 Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang

They ignore two key problems when the encoder exchanges information with the decoder: one is the lack of interference control mechanism between them, the other is without considering the disparity of the contributions from different encoder levels.

Segmentation Semantic Segmentation

Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement

no code implementations3 Oct 2022 Hongsheng Wang, Xiaoqi Zhao, Youwei Pang, Jinqing Qi

In this research, we propose a rich prototype generation module (RPGM) and a recurrent prediction enhancement module (RPEM) to reinforce the prototype learning paradigm and build a unified memory-augmented decoder for few-shot segmentation, respectively.

Segmentation

Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction

1 code implementation9 Mar 2022 Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu

In this paper, we propose a novel multi-task and multi-modal filtered transformer (MMFT) network for RGB-D salient object detection (SOD).

Depth Estimation object-detection +2

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

1 code implementation4 Dec 2021 Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu

Most of the existing bi-modal (RGB-D and RGB-T) salient object detection methods utilize the convolution operation and construct complex interweave fusion structures to achieve cross-modal information integration.

object-detection RGB-D Salient Object Detection +1

Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation

1 code implementation11 Aug 2021 Xiaoqi Zhao, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu

In this paper, we propose a novel multi-source fusion network for zero-shot video object segmentation.

 Ranked #1 on Video Object Segmentation on FBMS (Jaccard (Mean) metric)

Depth Estimation Object +3

Automatic Polyp Segmentation via Multi-scale Subtraction Network

2 code implementations11 Aug 2021 Xiaoqi Zhao, Lihe Zhang, Huchuan Lu

\keywords{Colorectal Cancer \and Automatic Polyp Segmentation \and Subtraction \and LossNet.}

Segmentation

Self-Supervised Pretraining for RGB-D Salient Object Detection

1 code implementation29 Jan 2021 Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan

Existing CNNs-Based RGB-D salient object detection (SOD) networks are all required to be pretrained on the ImageNet to learn the hierarchy features which helps provide a good initialization.

Object object-detection +3

Multi-scale Interactive Network for Salient Object Detection

1 code implementation CVPR 2020 Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu

To obtain more efficient multi-scale features from the integrated features, the self-interaction modules are embedded in each decoder unit.

Object object-detection +2

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

1 code implementation ECCV 2020 Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang

In this work, we design a single stream network to directly use the depth map to guide early fusion and middle fusion between RGB and depth, which saves the feature encoder of the depth stream and achieves a lightweight and real-time model.

object-detection RGB-D Salient Object Detection +3

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