AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A paper list of lane detection.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
A curated list of neural network pruning resources.
 A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Brain Tumor Segmentation done using U-Net Architecture.
Best Practices, code samples, and documentation for Computer Vision.
A Collection of Domain Adaptation for Object Detection Material
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Prune a model while finetuning or training.
95.16% on CIFAR10 with PyTorch
Count the MACs / FLOPs of your PyTorch model.
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet