BlueBlueFF's Stars
FuxiaoLiu/MMC
[NAACL 2024] MMC: Advancing Multimodal Chart Understanding with LLM Instruction Tuning
bytedance/Next-ViT
52CV/CVPR-2021-Papers
elijahcole/single-positive-multi-label
Multi-Label Learning from Single Positive Labels - CVPR 2021
wvinzh/WS_DAN_PyTorch
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
songdejia/DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
yangze0930/NTS-Net
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).
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
aim-uofa/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
datamllab/awesome-deepfakes-materials
A curated list of awesome Deepfakes materials
yuezunli/CVPRW2019_Face_Artifacts
Exposing DeepFake Videos By Detecting Face Warping Artifacts
666DZY666/micronet
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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
clovaai/stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
open-mmlab/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
drbh/deepfake-detection-challenge
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
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
d-li14/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Enderdead/Pytorch_Quantize_impls
Some recent Quantizing techniques on PyTorch
eladhoffer/convNet.pytorch
ConvNet training using pytorch
kemaloksuz/ObjectDetectionImbalance
Lists the papers related to imbalance problems in object detection [TPAMI]
tianzhi0549/FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
tamakoji/pytorch-syncbn
Synchronized Multi-GPU Batch Normalization
ray-project/ray
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.
yqyao/FCOS_PLUS
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
foolwood/benchmark_results
Visual Tracking Paper List
qfgaohao/pytorch-ssd
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 like CoordConv.
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
vadimkantorov/caffemodel2pytorch
Convert Caffe models to PyTorch
sovrasov/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework