Rui Chen

[ACM MM 25] FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos

MaskRCNN with Knowledge Distillation

Google ML Winter Camp 2020 -- Garbage Classification -- Team_DuckDuckGo

I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)

Faster RCNN with PyTorch

Class Activation Mapping

LaTeX Thesis Template for Tsinghua University

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

No description.

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Google ML冬令营-燃烧我的GPU-项目

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

A faster pytorch implementation of faster r-cnn

A simplified implemention of Faster R-CNN that replicate performance from origin paper

YOLOv2 in PyTorch