{"data":{"slug":"dwctod-eccv2022-papers-with-code-demo","name":"ECCV2022-Papers-with-Code-Demo","tagline":"收集 ECCV 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[CVPR2021](https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo/blob/main/CVPR2021.md)\n>\n> [ICCV2021](https://github.com/DWCTOD/ICCV2021-Papers-with-Code-Demo)\n\n### **:fireworks: 欢迎进群** | Welcome\n\nECCV 2022 论文/paper交流群已成立！已经收录的同学，可以添加微信：**nvshenj125**，请备注：**ECCV+姓名+学校/公司名称**！一定要根据格式申请，可以拉你进群。\n\n<a name=\"Contents\"></a>\n\n### :hammer: **目录 |Table of Contents（点击直接跳转）**\n\n<details open>\n<summary> 目录（右侧点击可折叠）</summary>\n\n- [数据集/Dataset](#Dataset)\n- [Image Classification](#ImageClassification)\n- [GAN](#GAN)\n- [NeRF](#NeRF)\n- [Visual Transformer](#VisualTransformer)\n- [多模态/Multimodal ](#Multimodal)\n- [Vision-Language](#Vision-Language)\n- [对比学习/Contrastive Learning](#ContrastiveLearning)\n- [Domain Adaptation](#DomainAdaptation)\n- [目标检测/Object Detection](#ObjectDetection)\n- [目标跟踪/Object Tracking](#ObjectTracking)\n- [语义分割/Segmentation](#Segmentation)\n- [Video Segmentation](#VS)\n- [医学图像分割/Medical Image Segmentation](#MIS)\n- [Knowledge Distillation](#KnowledgeDistillation)\n- [Action Detection](#ActionDetection)\n- [Action Recognition](#ActionRecognition)\n- [Anomaly Detection](#AnomalyDetection)\n- [人脸识别/Face Recognition](#FaceRecognition)\n- [人脸检测/Face Detection](#FaceDetection)\n- [人脸活体检测/Face Anti-Spoofing](#FaceAnti-Spoofing)\n- [人脸年龄估计/Age Estimation](#AgeEstimation)\n- [人脸表情识别/Facial Expression Recognition](#FacialExpressionRecognition)\n- [人脸属性识别/Facial Attribute Recognition](#FacialAttributeRecognition)\n- [人脸编辑/Facial Editing](#FacialEditing)\n- [人脸相关 / Face](#Face)\n- [人体姿态估计/Human Pose Estimation](#HumanPoseEstimation)\n- [3D reconstruction](#3DReconstruction)\n- [Human Reconstruction](#HumanReconstruction)\n- [Relighting](#Relighting)\n- [DeepFake](#DeepFake)\n- [OCR](#OCR)\n- [Text Recognition](#TextRecognition)\n- [点云/Point Cloud](#PointCloud)\n- [光流估计/Flow Estimation](#FlowEstimation)\n- [深度估计/Depth Estimation](#DepthEstimation)\n- [车道线检测/Lane Detection](#LaneDetection)\n- [轨迹预测/Trajectory Prediction](#TrajectoryPrediction)\n- [超分/Super-Resolution](#Super-Resolution)\n- [图像去噪/Image Denoising](#ImageDenoising)\n- [图像去模糊/Image Deblurring](#ImageDeblurring)\n- [图像复原/Image Restoration](#ImageRestoration)\n- [图像增强/Image Enhancement](#ImageEnhancement)\n- [图像修复/Image Inpainting](#ImageInpainting)\n- [视频插帧/Video Interpolation](#VideoInterpolation)\n- [Temporal Action Segmentation](#TemporalActionSegmentation)\n- [检索/Image Retrieval](#ImageRetrieval)\n- [Diffusion](#diffusion)\n- [其他/Other](#Other)\n\n</details>\n\n<a name=\"Dataset\"></a> \n\n## 数据集/Dataset\n\n**COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts**\n\n- 论文/Paper: http://arxiv.org/pdf/2207.04675\n- 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia\n\n**Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset**\n\n- 论文/Paper: http://arxiv.org/pdf/2207.10664\n- 代码/Code: https://github.com/visipedia/ssw60\n\n**BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis**\n\n- 论文/Paper: http://arxiv.org/pdf/2207.10120\n- 代码/Code: https://github.com/dmoltisanti/brace\n\n**CelebV-HQ: A Large-Scale Video Facial Attributes Dataset**\n\n- 论文/Paper: http://arxiv.org/pdf/2207.12393\n- 代码/Code: https://github.com/CelebV-HQ/CelebV-HQ\n\n**Ithaca365: Data","github_created_at":"2022-07-04T13:32:51+00:00","created_at":"2026-07-11T12:31:37.343258+00:00","updated_at":"2026-07-11T12:32:00.151103+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"speech-audio","name":"Speech & 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