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

Datasets, Transforms and Models specific to Computer Vision

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

A standard framework for modelling Deep Learning Models for tabular data

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

A PyTorch re-implementation of Neural Radiance Fields

Implementation of some deep learning algorithms.

An open source python library for scalable Bayesian optimisation.

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been genera…

[AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"

Pretrained models on CIFAR10/100 in PyTorch

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

[CVMJ2024] Learning Accurate Template Matching with Differentiable Coarse-to-fine Correspondence Refinement

Robust 3-step phase-shifting method combined with graycode patterns.

A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

Local explanations with uncertainty 💐!

This is the official repo for the paper ‘’Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN''.

Weakly Supervised Deep Metric Learning for Template Matching

Targeted black-box adversarial attack using Bayesian Optimization