End-to-End Object Detection with Transformers

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

Multispectral Object Detection with Yolov5 and Transformer

[AAAI 25] Guided Real Image Dehazing using YCbCr Color Space

Must-read papers on deep learning to hash (DeepHash)

pytorch implementation of Deep Supervised Hashing

Implementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hashing by Maximizing Bit Entropy

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Locality Sensitive Hashing, fuzzy-hash， min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Example of PyTorch DistributedDataParallel

Implementation of "Spatial Attention Pyramid Network for Unsupervised Domain Adaptation" (ECCV 2020)

A Collection of Domain Adaptation for Object Detection Material

The code of our ECCV paper: Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Wavelet Convolutions for Large Receptive Fields. ECCV 2024.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578

A Pytorch Implementation of Unbiased Mean Teacher for Cross-domain Object Detection (CVPR 2021)

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Implementation of 'Exploring Object Relation in Mean Teacher for Cross-Domain Detection' [CVPR 2019]

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

Copy-paste augmentation for segmentation and detection tasks

Copy-paste augmentation in detectron2 pipeline

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'