[CVPR 2020] Image Processing Using Multi-Code GAN Prior

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Content adaptive resampler for image downscaling

SWA Object Detection

ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution

This is a collection of our NAS and Vision Transformer work.

[NeurIPS'20] Learning Semantic-aware Normalization for Generative Adversarial Networks

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

(CVPR2020 PAMI2021) Optical Flow in the Dark

A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Real-Time High-Resolution Background Matting

[AAAI 2021] Official implementation of "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection".

Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

StyleGAN Encoder - converts real images to latent space

Yolov5 real time smoke detection system

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Detect fire in images using neural nets

This repo is implemented based on detectron2 and centernet

[ICML2021] What Makes for End-to-End Object Detection

Code for paper `Improving the Fairness of Deep Generative Models without Retraining`

Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch

A pytorch implementation of SlimCNN for Facial Attribute Classification : https://arxiv.org/abs/1907.02157