Millielele's Stars
VisDrone/VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
naoto0804/pytorch-AdaIN
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
gladia-research-group/latent-autoregressive-source-separation
xiaohu2015/nngen
cvlab-stonybrook/fsl-rsvae
huanranchen/ASRNorm
a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization
clementchadebec/pyraug
Data Augmentation with Variational Autoencoders (TPAMI)
mk-minchul/dcface
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
google-research/google-research
Google Research
dliu5812/DDF
【IEEE Transactions on Multimedia 2022】Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
BatsResearch/csp
Learning to compose soft prompts for compositional zero-shot learning.
kristen-rang/FFCLIP
official implementation
pilsHan/awesome-source-free-domain-adaptation
ZyeZhang/DaC
Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
salesforce/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
YuheD/ProxyMix
NN 2023
YuejiangLIU/awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
seanzhuh/SeqTR
SeqTR: A Simple yet Universal Network for Visual Grounding
tim-learn/Generate_list
Generate custom text files for dataloader within UDA methods
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
jgraph/drawio-desktop
Official electron build of draw.io
KennithLi/Awesome-Zero-Shot-Object-Detection
facebookresearch/odin
A simple and effective method for detecting out-of-distribution images in neural networks.
xiaofeng94/VL-PLM
Exploiting unlabeled data with vision and language models for object detection, ECCV 2022
hanoonaR/object-centric-ovd
[NeurIPS 2022] Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".
akshitac8/OW-DETR
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
csuhan/opendet2
Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)