Zhao Xiaoqi (赵骁骐, Jackie)

MSNet-M2SNet. (MIR 2026 [M2SNet] & MICCAI 2022 GOALS Challenge & MICCAI 2021 [MSNet]) Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

Spider-UniCDSeg. (ICML 2024) Spider: A Unified Framework for Context-dependent Concept Segmentation

GateNet-RGB-Saliency. (IJCV 2024 & ECCV 2020 Oral) Towards Diverse Binary Segmentation via A Simple yet General Gated Network

UniMRSeg. (NeurIPS 2025) UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation

Awesome-Open-Vision-Problem-Modeling. Practical New Tasks and Inspiring Modeling Solutions for Diverse Open Vision Problems

Awesome-AI4X-NSCLR-Papers. A curated collection of AI+X papers published in Nature / Science / Cell / Lancet / Radiology and their flagship sub-journals

PySegMetric_EvalToolkit. PySegMetrics (PSM): A Python-based Simple yet Efficient Evaluation Toolbox for Segmentation-like tasks

Multi-Source-APS-ZVOS. (IJCV 2024 & ACM MM 2021 Oral) Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation

Awesome-Unified-Context-dependent-Concept-Segmentation. The summary of code and paper for unified model towards context-dependent (CD) concept segmentation.

MMFT. (TIP 2022) Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction

DANet-RGBD-Saliency. (ECCV 2020) A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

SSLSOD. (AAAI 2022) Self-Supervised Pretraining for RGB-D Salient Object Detection

Awesome-Concept-Segmentation. The summary of code and paper for universal, unified and open-world concept segmentation.

PaperWriting.

ZoomNet. Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

English-Writing. Enhance Your English Writing

RGBD-semantic-segmentation. A paper list of RGBD semantic segmentation (processing)

SAMs-CDConcepts-Eval. Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Xiaoqi-Zhao-DLUT.

F3Net. Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

lartpang.github.io. A simple page for me.