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Computer Science and Programming

Computer Science and Programming

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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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Postlar arxiv
Unseen Object Amodal Instance Segmentation (UOAIS)

Now we can generate the faces with just with talking
Now we can generate the faces with just with talking

You Only 👀 Once for Panoptic 🚙 Perception
You Only 👀 Once for Panoptic 🚙 Perception

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? 🙈

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

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

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

A simpler design but better performance! It aims to bridge the gap between research and industrial communities. Paper: https:
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

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

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

It's CVPR 2021 time!
It's CVPR 2021 time!

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