Rosun's repositories
Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
centermask2
CenterMask2 on top of detectron2, in CVPR 2020
deepvideo
Deep learning for video compression.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
imgaug
Image augmentation for machine learning experiments.
multi_object_datasets
Multi-object image datasets with ground-truth segmentation masks and generative factors.
PaddleDetection
A high performance object detection and face detection toolkit based on PaddlePaddle.
PaddleSeg
A high performance semantic segmentation toolkit based on PaddlePaddle. (『飞桨』图像分割库)
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
Research
novel deep learning research works with PaddlePaddle
SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
SpCL
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
torchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision
Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.