{"id":19243163,"url":"https://github.com/acecoooool/paper-zh","last_synced_at":"2026-03-02T13:06:36.662Z","repository":{"id":201607405,"uuid":"116024057","full_name":"AceCoooool/Paper-zh","owner":"AceCoooool","description":"daily paper reading","archived":false,"fork":false,"pushed_at":"2018-01-19T14:22:46.000Z","size":9210,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-05T03:42:16.822Z","etag":null,"topics":["paper","zh-cn"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AceCoooool.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-01-02T14:32:49.000Z","updated_at":"2023-11-20T08:13:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"0c78dca5-d5ef-4c13-bc63-ac3798dae158","html_url":"https://github.com/AceCoooool/Paper-zh","commit_stats":null,"previous_names":["acecoooool/paper-zh"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2FPaper-zh","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2FPaper-zh/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2FPaper-zh/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2FPaper-zh/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AceCoooool","download_url":"https://codeload.github.com/AceCoooool/Paper-zh/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240331313,"owners_count":19784644,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["paper","zh-cn"],"created_at":"2024-11-09T17:16:53.049Z","updated_at":"2026-03-02T13:06:31.626Z","avatar_url":"https://github.com/AceCoooool.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Paper-zh\n个人所读论文的记录，里面肯定包含错误的理解，欢迎指出，感谢指出。\n\n下述的(*推荐)代表推荐此论文，并不是指写的总结\n\n### 20180102\n\n1. [Learning Deep Features for Discriminative Localization](https://arxiv.org/abs/1512.04150)\n2. [Unsupervised Image-to-Image Translation Networks](https://arxiv.org/abs/1703.00848)\n\n\n### 20180103\n\n1. [Holistically-Nested Edge Detection](https://arxiv.org/abs/1504.06375)\n2. [Deeply supervised salient object detection with short connections](https://arxiv.org/abs/1611.04849)\n3. [Richer Convolutional Features for Edge Detection](https://arxiv.org/abs/1612.02103)\n\n\n### 20180104\n\n1. [The Devil is in the Decoder](https://arxiv.org/abs/1707.05847v2) (*推荐)\n2. [Instance-Level Salient Object Segmentation](https://arxiv.org/abs/1704.03604)\n\n\n### 20180105\n\n1. [\"Zero-Shot\" Super-Resolution using Deep Internal Learning](https://arxiv.org/abs/1712.06087) (*推荐)\n2. [Panoptic Segmentation](https://arxiv.org/abs/1801.00868) (*推荐)\n\n### 20180106\n\n1. [Non-Local Deep Features for Salient Object Detection](http://openaccess.thecvf.com/content_cvpr_2017/papers/Luo_Non-Local_Deep_Features_CVPR_2017_paper.pdf)\n2. [Learning to Detect Salient Objects with Image-level Supervision](http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_to_Detect_CVPR_2017_paper.pdf) (*推荐)\n\n+.+：20180107和20180108打酱油去了....\n\n### 20180109\n\n1. [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/abs/1411.4038)\n2. [Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs](https://arxiv.org/abs/1412.7062)) (似乎同一篇，但更详细的版本：[DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs](https://arxiv.org/pdf/1606.00915.pdf))\n3. [Attention to Scale: Scale-aware Semantic Image Segmentation](https://arxiv.org/abs/1511.03339)\n\n\n### 20180110\n\n1. [Semantic Image Segmentation via Deep Parsing Network](https://arxiv.org/abs/1509.02634) (*推荐)\n2. [Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs](https://arxiv.org/abs/1603.08358)\n3. [Deep, Dense, and Low-Rank Gaussian Conditional Random Fields](https://arxiv.org/abs/1611.09051)\n\n\n### 20180111\n\n1. [Pyramid Scene Parsing Network](https://arxiv.org/abs/1612.01105)\n2. [Semantic Segmentation with Reverse Attention](https://arxiv.org/abs/1707.06426) (*推荐)\n\n+.+：201801012和20180113又打酱油去了....（泪崩）\n\n### 20180114\n\n1. [Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach](https://arxiv.org/abs/1703.08448)\n2. [Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection](https://arxiv.org/abs/1708.02001)\n\n\n### 20180116\n\n1. [Dilated Residual Networks](https://arxiv.org/abs/1705.09914) \u0026 [Multi-Scale Context Aggregation by Dilated Convolutions](https://arxiv.org/abs/1511.07122)\n2. [Learning Affinity via Spatial Propagation Networks](https://arxiv.org/abs/1710.01020) (*推荐)\n\n\n### 20180117\n\n1. [Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes](https://arxiv.org/abs/1611.08323)\n2. [Deep Level Sets for Salient Object Detection](http://openaccess.thecvf.com/content_cvpr_2017/papers/Hu_Deep_Level_Sets_CVPR_2017_paper.pdf)\n\n\n### 20180118\n\n1. [Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade](https://arxiv.org/abs/1704.01344)\n\n\n### 20190119\n\n1. [Soft Proposal Networks for Weakly Supervised Object Localization](https://arxiv.org/abs/1709.01829)\n\ns","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fpaper-zh","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facecoooool%2Fpaper-zh","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fpaper-zh/lists"}