PVTv2: Improved Baselines with Pyramid Vision Transformer

✅ Classification
✅ Detection
✅ Segmentation

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

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

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)

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

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? 🙈

Paper:
https://arxiv.org/pdf/2108.11250v1.pdf

Github:
https://github.com/hustvl/YOLOP