Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, Ro…

Using ControlNet right in Blender.

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

Kernel Temporal Segmentation

A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization" (IEEE ISM 2021)

High-Resolution Image Synthesis with Latent Diffusion Models

Code for Few-Shot Head Swapping in the Wild (CVPR 2022 Oral)

Real-time face swap for PC streaming or video calls

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Code (and data) for Seijdel N*, Loke J*, van de Klundert R, van der Meer M, Quispel E, van Gaal S, de Haan EHF, & Scholte HS. (2021). *Journal of Neuroscience*.

Contextual Attention Network: Transformer Meets U-Net

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…

Gradient based receptive field estimation for Convolutional Neural Networks

Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vi…

Caffe: a fast open framework for deep learning.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

[NeurIPS 2022] Official code for "Focal Modulation Networks"

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Models and examples built with TensorFlow

PyTorch implementations of single-shot approaches for object detection in images

Pytorch implementation of DSSD (Deconvolutional Single Shot Detector)

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm