视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.

公式编辑器 -- mathtype破解版

[ECCV '24] Submodular Combinatorial Few-Shot Object Detection

Few-shot Object Detection via Feature Reweighting

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"

左程云的算法和数据结构通关课

The official pytorch implementation for MSCPT.

Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification

A benchmark for cross-domain few-shot object detection (ECCV24 paper: Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector)

HLNet, which secured fourth place in the NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement - Track 2 BracketIRE+ Task, has now been accepted by the CVPR 2024 Workshop.

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

AxSoft.co official releases, AxMath, AxGlyph, AxCode, AxCell

[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring

[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

韩顺平Java零基础markdown整理（A detailed tutorial of java from 0 to 1）

Domain Adaptive Faster R-CNN in PyTorch

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

CoRL 2024

Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'

OpenMMLab FewShot Learning Toolbox and Benchmark

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Mamba SSM architecture

Official code of the paper "Few-Shot Object Detection via Variational Feature Aggregation" (AAAI 2023)

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to…

[CVPR 2021] Monocular depth estimation using wavelets for efficiency

Implementations of few-shot object detection benchmarks