Stars
[NAACL 2024] MMC: Advancing Multimodal Chart Understanding with LLM Instruction Tuning
Multi-Label Learning from Single Positive Labels - CVPR 2021
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A curated list of awesome Deepfakes materials
Exposing DeepFake Videos By Detecting Face Warping Artifacts
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
🤘 awesome-semantic-segmentation
Open-source toolbox for visual fashion analysis based on PyTorch
The unofficial https://deepfakedetectionchallenge.ai/ github repo. A quick and easy way to get insight to current progress and previous work on detecting deepfake videos
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Some recent Quantizing techniques on PyTorch
Lists the papers related to imbalance problems in object detection [TPAMI]
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Synchronized Multi-GPU Batch Normalization
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Convert Caffe models to PyTorch
Flops counter for convolutional networks in pytorch framework