Stars
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
Deep Feature Flow for Video Recognition
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Relation Networks for Object Detection
A Tensorflow implementation of Spatial Transformer Networks.
A PyTorch implementation of the architecture of Mask RCNN
The Project had moved to elsewhere. Please go to|项目已迁移至别处，请到
Instance-Batch Normalization Networks (ECCV2018)
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"
Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Understanding Convolution for Semantic Segmentation
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
C3D is a modified version of BVLC tensorflow to support 3D ConvNets.
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Detecting face masks using Python, Keras, OpenCV on real video streams
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Neural networks toolbox focused on medical image analysis