cyh-0

CAVP

Official code for "A Closer Look at Audio-Visual Segmentation"

BoMD

Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"

RTFM

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

IGD

Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

NVUM

Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification"

PS-MT

[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

ACM-Net

The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".

AVSBench

Official implementation of the ECCV2022 paper: Audio-Visual Segmentation

GMIC

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Machine-Learning-Session

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

PaddleGAN

PaddlePaddle GAN library, including lots of interesting applications like DeepFake First-Order motion transfer, Mai-ha-hi（蚂蚁呀嘿), faceswap wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

PL4NN

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

terminal

The new Windows Terminal and the original Windows console host, all in the same place!

XDVioDet

Official implementation of "Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision" ECCV2020