1102998363's Stars
yeachan-kr/clear
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning (ACL 2024)
MrChenFeng/CLIPCleaner_ACMMM2024
CLIPCleaner: Cleaning Noisy Labels with CLIP (ACM MM2024)
salesforce/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
woriazzc/Robust-PU
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
junha1125/Vision-Language-Model-in-ECCV-2024
MisaOgura/flashtorch
Visualization toolkit for neural networks in PyTorch! Demo -->
zyh-uaiaaaa/Generalizable-FER
Official implementation of the ECCV2024 paper: Generalizable Facial Expression Recognition
zengqunzhao/EfficientFace
[AAAI'21] Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
hangyu94/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
ShomyLiu/pytorch-relation-extraction
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
fei-aiart/TechNotes
论文 · 撰写 · 排版 · 画图
HRNet/HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
cunjian/pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
FacePerceiver/LAION-Face
The human face subset of LAION-400M for large-scale face pretraining.
zhongyy/Face-Transformer
Face Transformer for Recognition
szlbiubiubiu/LAFS_CVPR2024
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
cd-xlyang/Deep-Semi-supervised-Learning
A collection of deep semi-supervised learning resources
RainbowRui/Landmark-Driven-Facial-Expression-Recognition
A landmark-driven method on Facial Expression Recognition (FER)
ZhibinPeng/CCLLS
Cross-layer Contrastive Learning of Latent Semantics for Facial Expression Recognition
zengqunzhao/DFER-CLIP
[BMVC'23] Prompting Visual-Language Models for Dynamic Facial Expression Recognition
JaminFong/dali-pytorch
A PyTorch toolkit for extremely fast ImageNet training with NVIDIA DALI.
52CV/CVPR-2024-Papers
ClaudiaShu/SSL-FER
[BMVC 2022] This is the official code of our Paper "Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition"
muse1998/CLIPER
A Unified Framework for Both Static and Dynamic Facial Expression Recognition
kaix90/DCTNet
EvelynFan/AWESOME-MER
🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬
hjimce/O2U-Net
paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥