Stars
End-to-End Object Detection with Transformers
Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
A CSS based User Interface demonstration for Digital Calibration Certificates (DCC)
A curated list of awesome Flask resources and plugins
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo (CVPR 2020 Oral)
A curated list of papers & resources linked to 3D reconstruction from images.
Awesome Incremental Learning
A technical report on convolution arithmetic in the context of deep learning
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
A collection of infrastructure and tools for research in neural network interpretability.
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic Segmentation Architectures Implemented in PyTorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Tools for using the Kinect One (Kinect v2) in ROS