Stars
A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition
Source code for CVPR 2022 paper Sylph A Hypernetwork Framework for Few-shot Object Detection
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
GitHub最全的前端资源汇总仓库（包括前端学习、开发资源、数据结构与算法、开发工具、求职面试等）
🤪 A list of funny and tricky JavaScript examples
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
deep learning for image processing including classification and object-detection etc.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
100-Days-Of-ML-Code中文版
[AAAI 2021] Official implementation of "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection".
A python library for self-supervised learning on images.
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Visual Navigation with Spatial Attention
The official implementation of Efficient Few-Shot Object Detection via Knowledge Inheritance (TIP 2022)
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Code for "Conditional Self-Supervised Learning for Few-Shot Classification" in IJCAI 2021.
ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)