ShaohuaDong2021's Stars
SerenityOS/serenity
The Serenity Operating System 🐞
amusi/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
gaomingqi/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
zhulf0804/3D-PointCloud
Papers and Datasets about Point Cloud.
VainF/Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
ttengwang/Caption-Anything
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
M-3LAB/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
jiwei0921/SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning.
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
xingchenzhang/RGB-T-fusion-tracking-papers-and-results
The papers and results about RGB-T fusion tracking
suhwan-cho/awesome-video-object-segmentation
A list of video object segmentation (VOS) papers
zyrant/Summary-of-RGB-T-Salient-Object-Detection-and-Semantic-segmentation
Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.
memoryunreal/RGBD-tracking-review
gaomingqi/VOS-Review
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
jinbao-wang/how-to-research-well
如何做好科研写好科研文章?发顶刊顶会总结
zyrant/LSNet
[TIP2023][LSNet]Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images
ShaohuaDong2021/EGFNet
memoryunreal/awesome-single-object-tracking
ttengwang/VLMixer
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix (ICML 2022)
Xiaoqiong-Liu/ConvARG
wujunyi1412/MFENet_DSP