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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.
phecy / SSL-FEW-SHOT
Forked from Alibaba-AAIG/SSL-FEW-SHOTSSL-FEW-SHOT
[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"
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.
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
End-to-End Object Detection with Transformers
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
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…