{"id":18527908,"url":"https://github.com/nemonameless/computer-version-papers-translation","last_synced_at":"2026-01-24T11:05:55.129Z","repository":{"id":118411598,"uuid":"126611551","full_name":"nemonameless/Computer-Version-Papers-Translation","owner":"nemonameless","description":"image classification, object detection, semantic segmentation, image generation, image retrieval, 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2024-11-06T17:56:17.420Z","updated_at":"2026-01-24T11:05:55.102Z","avatar_url":"https://github.com/nemonameless.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer-Version-Papers-Translation\n## Image Classification\n\n* AlexNet  \n[ImageNet Classification with Deep Convolutional Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)\n\n* VGG  \n[Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556)\n\n* ResNet  \n[Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)\n\n* GoogLeNet  \n[Going Deeper With Convolutions](https://arxiv.org/abs/1409.4842)\n\n* BN-GoogLeNet  \n[Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://arxiv.org/abs/1502.03167)\n\n* Inception-v3  \n[Rethinking the Inception Architecture for Computer Vision](https://arxiv.org/abs/1512.00567)\n\n* SENet  \n[Squeeze-and-Excitation Networks](https://arxiv.org/abs/1709.01507)\n\n## Object Detection\n\n* YOLO   \n[You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/abs/1506.02640)\n\n* SSD  \n[SSD: Single Shot MultiBox Detector](https://arxiv.org/abs/1512.02325)\n\n* YOLO9000  \n[YOLO9000: Better, Faster, Stronger](https://arxiv.org/abs/1612.08242)\n\n* Deformable-ConvNets  \n[Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211)\n\n\n* Faster R-CNN  \n[Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://arxiv.org/abs/1506.01497)\n\n\n* R-FCN  \n[R-FCN: Object Detection via Region-based Fully Convolutional Networks](https://arxiv.org/abs/1605.06409)\n\n\n## Semantic Segmentation\n\n## Image Generation\n\n## Image Retrieval\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnemonameless%2Fcomputer-version-papers-translation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnemonameless%2Fcomputer-version-papers-translation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnemonameless%2Fcomputer-version-papers-translation/lists"}