Rosun's repositories

Segmentation.X

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

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CGNet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

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SSL.X

Papers about Self-supervised Learning in CV and NLP.

CFNet

Consensus Feature Network for Scene Parsing

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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Awesome-Multimodal-Research

A curated list of Multimodal Related Research.

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Awesome-Self-Supervised-Papers

Paper bank for Self-Supervised Learning

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centermask2

CenterMask2 on top of detectron2, in CVPR 2020

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deepvideo

Deep learning for video compression.

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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EmbedMask

EmbedMask: Embedding Coupling for One-stage Instance Segmentation

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ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理

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imgaug

Image augmentation for machine learning experiments.

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models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

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multi_object_datasets

Multi-object image datasets with ground-truth segmentation masks and generative factors.

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PaddleDetection

A high performance object detection and face detection toolkit based on PaddlePaddle.

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PaddleSeg

A high performance semantic segmentation toolkit based on PaddlePaddle. (『飞桨』图像分割库)

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PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

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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)

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pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

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Research

novel deep learning research works with PaddlePaddle

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SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

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SpCL

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

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torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

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Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

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