Stars
Android/iOS video player based on FFmpeg n3.4, with MediaCodec, VideoToolbox support.
FFmpeg实现视频裁剪、水印、转码、编解码、转Gif动图；FFmpeg本地推流、H264与RTMP实时推流直播；OpenGL滤镜特效，视频拍摄。音视频学习路线，音视频知识总结、流媒体协议
Official Implementation of AAAI'24 paper "Dirichlet-Based Prediction Calibration for Learning with Noisy Labels"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official repo for our ICML 23 paper: "Multi-Modal Classifiers for Open-Vocabulary Object Detection"
[ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data"
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
[ICCV 2023] Official repository of paper titled "Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?"
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR 2023)
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
📈 Adaptive: parallel active learning of mathematical functions
Official PyTorch Implementation for Active Prompt Learning in Vision Language Models
[ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification
This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
Introduction and evaluation code for RGB-IR re-id dataset SYSU-MM01.
(Re-)implementation of evaluation code for SYSU_MM01 dataset in python
A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.