Robust fine-tuning of zero-shot models

[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376

[VISAPP2024] Towards the Detection of Diffusion Model Deepfakes

deepfake dataset collected on the web for deepfake detection

A list of tools, papers and code related to Deepfake Detection.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

An open source implementation of CLIP.

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

EVA Series: Visual Representation Fantasies from BAAI

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Kolmogorov Arnold Networks

Official Code of ECCV 2022 paper MS-CLIP

[CBMI2024 Best Paper] Official repository of the paper "Is CLIP the main roadblock for fine-grained open-world perception?".

VadCLIP official Pytorch implementation

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

[ICCV 2017] Torch code for Grad-CAM

This repository is the official implementation of our paper Robust Diffusion Model-Generated Image Detection with CLIP, accepted by MIPR 2024

[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

The official code of "Rethinking Local Perception in Lightweight Vision Transformer"

Github of the FaceForensics dataset

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.