Computer Science and Programming

前往频道在 Telegram

Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

显示更多

网络:Computer Science and Programming 意大利88 技术与应用804...

📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@computer_science_and_programming) 英语语言赛道中的是活跃参与者。目前社区聚集了 140 441 名订阅者，在 技术与应用 类别中位列第 804，并在 意大利 地区排名第 88 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 140 441 名订阅者。

根据 31 八月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -734，过去 24 小时变化为 -18，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 7.96%。内容发布后 24 小时内通常能获得 1.94% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 11 177 次浏览，首日通常累积 2 728 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 14。
主题关注点： 内容集中在 sellerflash, github, developer, pricing, waybienad 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...”

凭借高频更新（最新数据采集于 01 九月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

Buy Ad

140 441

订阅者

-1824 小时

-2617 天

-73430 天

11 177

帖子浏览量

~ 2 72824 小时

~ 3 75748 小时

7.96%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

140 427

Paper: https://arxiv.org/pdf/2106.02034.pdf Github: https://github.com/raoyongming/DynamicViT Project page: https://dynamicvit.ivg-research.xyz/

140 427

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

140 427

Paper: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf Code: https://github.com/Turmac/light_field_synthesis Project page: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html Dataset: https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view

140 427

Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion

140 427

500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

140 427

Great resource of AI, Machine learning, Deep learning, Computer vision, NLP Projects and Courses with code

140 427

Github: https://github.com/OlafenwaMoses/DeepStack_ExDark Documentation: https://docs.deepstack.cc/index.html#installation Custom dataset preparation: https://docs.deepstack.cc/custom-models/datasetprep/index.html Training custom model: https://docs.deepstack.cc/custom-models/training/index.html

140 427

Dark scene object detection API for detecting 12 common objects in the dark/night images and videos

140 427

🔥 Self-Supervised Vision Transformers with DINO Blogpost: https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training/ Paper: https://arxiv.org/pdf/2104.14294.pdf Code: https://github.com/facebookresearch/dino

140 427

Advancing the state of the art in computer vision with self-supervised Transformers and 10x more efficient training

140 427

CS224W: Machine Learning with Graphs - Stanford / Winter 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW Full Stack Deep Learning - Spring 2021 - UC Berkeley https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9 Introduction to Deep Learning (I2DL) - Technical University of Munich https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk 3D Computer Vision - National University of Singapore - 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ CV3DST - Computer Vision 3: Detection, Segmentation and Tracking https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe ADL4CV - Advanced Deep Learning for Computer Vision https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz

140 427

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school

140 427

Paper: https://arxiv.org/pdf/1811.08264.pdf Github: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network Learning list: https://github.com/DirtyHarryLYL/HOI-Learning-List

140 427

Transferable Interactiveness Knowledge forHuman-Object Interaction Detection

140 427

Paper: https://arxiv.org/pdf/2104.01604v1.pdf Github: https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such Dataset: https://zenodo.org/record/4623772#.YHFLkxKRWJk

140 427

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers End-to-end pipeline for Spoken Language Understanding (SLU)

140 427

Github: https://github.com/ai-coodinator/yolact_edge YolactEdge, competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti) with a ResNet-101 backbone on 550x550 resolution images.

140 427

YolactEdge Real time Instance Segmentation on the Edge https://www.youtube.com/watch?v=pMDwXkIerw8

140 427

Paper: https://arxiv.org/pdf/2103.07941v1.pdf Github: https://github.com/hkchengrex/MiVOS Project page: https://hkchengrex.github.io/MiVOS/

140 427

CVPR 2021 paper Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion (MiVOS)