Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函…

Simple pytorch implementation of focal loss

[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).

[CVPR 2025] SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

The official Pytorch implementation of OCNet, OCRNet, and SegFix.

Flops counter for neural networks in pytorch framework

geodesic distance transform of 2d/3d images

Pytorch Implementation of DeepIGeoS

This repository contains demos I made with the Transformers library by HuggingFace.

(TPAMI 2024) A Survey on Open Vocabulary Learning

PyTorch deep learning projects made easy.

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Open Set Recognition

SOTA Semantic Segmentation Models in PyTorch

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

Awesome Docker Compose samples

Scaffolding for BPF application development with libbpf and BPF CO-RE

A tool for monitoring (specific) USB devices

Flask + Docker