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This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
A curated list of different papers and datasets in various areas of audio-visual processing
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A curated publication list on weakly-supervised temporal action localization
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
Add bisenetv2. My implementation of BiSeNet
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Semantic Segmentation Architectures Implemented in PyTorch
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
A collection of high-impact and state-of-the-art SR methods
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
A Python toolbox for performing gradient-free optimization
TensorFlow Implementation of Deep Mutual Learning
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
TOFlow: Video Enhancement with Task-Oriented Flow
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
A list of papers on Generative Adversarial (Neural) Networks
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
LaTeX files for the Deep Learning book notation
Bayesian Modeling and Probabilistic Programming in Python