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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

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Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 138 848 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 817-o'rinni va Italiya mintaqasida 88-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 138 848 obunachiga ega bo‘ldi.

01 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -923 ga, so‘nggi 24 soatda esa -43 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Post qamrovi: Har bir post o‘rtacha 7 618 marta ko‘riladi; birinchi sutkada odatda 2 394 ta ko‘rish yig‘iladi.
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“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...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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138 848

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-92330 kun

7 618

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5.49%

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Postlar arxiv

138 848

Paper: https://arxiv.org/pdf/2108.11250v1.pdf Github: https://github.com/hustvl/YOLOP

138 848

You Only 👀 Once for Panoptic 🚙 Perception

138 848

Paper: https://arxiv.org/pdf/2105.06993.pdf Github: https://github.com/erikalu/omnimatte Project Page: https://omnimatte.github.io/ Supplimentary material: https://omnimatte.github.io/supplementary/index.html Explained: https://www.youtube.com/watch?v=lCBSGOwV-_o 👉@computer_science_and_programming

138 848

Now removing, duplicating or enhancing objects in video is more realistic with the assist of AI "We need to talk about the car in the room." This paper: what car? 🙈

138 848

Paper: https://arxiv.org/pdf/2103.14030.pdf Github: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection Demo: https://www.youtube.com/watch?v=FQVS_0Bja6o 👉@computer_science_and_programming

138 848

Swin transformer for : ✔️ Object detection ✔️ Image Classification ✔️ Semantic Segmentation ✔️ Video Recognition

138 848

⚠ Message was hidden by channel owner

138 848

Paper: https://arxiv.org/pdf/2107.10833v1.pdf Github: https://github.com/xinntao/Real-ESRGAN Colab demo: https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing 👉@computer_science_and_programming

138 848

Practical image restoration Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data 👉@computer_science_and_programming

138 848

A simpler design but better performance! It aims to bridge the gap between research and industrial communities. Paper: https://arxiv.org/pdf/2107.08430v1.pdf Github: https://github.com/Megvii-BaseDetection/YOLOX 👉@computer_science_and_programming

138 848

YOLOX: Exceeding YOLO Series in 2021 Anchor-free version of YOLO series Won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021)

138 848

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping Paper: https://arxiv.org/pdf/2105.07014.pdf Video: https://www.youtube.com/watch?v=W7NCbfZp6QE Code: https://github.com/google-research/google-research/tree/master/smurf 👉 @computer_science_and_programming

138 848

From Google and Waymo researchers: The self-/unsupervised revolution is near! Unsupervised optical flow model SMURF improves SOTA by 40% and beats many supervised methods such as PWC-Net and FlowNet2 👉 @computer_science_and_programming

138 848

All Open Access Papers: https://openaccess.thecvf.com/CVPR2021

138 848

It's CVPR 2021 time!

138 848

Paper: https://arxiv.org/pdf/2106.13797v2.pdf Github: https://github.com/whai362/PVT

138 848

PVTv2: Improved Baselines with Pyramid Vision Transformer ✅ Classification ✅ Detection ✅ Segmentation

138 848

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

138 848

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

138 848

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