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[AAAI, 2025] FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection
A paper list of some recent Mamba-based CV works.
VMamba: Visual State Space Models，code is based on mamba
Official pytorch code of our paper "MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection"
U-shaped Vision Mamba for Single Image Dehazing
Gated Differentiable Image Processing (GDIP) for Object Detection in Adverse Conditions | Accepted at ICRA 2023
[CVPR 2023] DynamicDet: A Unified Dynamic Architecture for Object Detection
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition
Mixed Pseudo Labels for Semi-Supervised Object Detection
A graph neural network for the segmentation and object detection in radar point clouds.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[CVPR 2023] Official implementation of the paper "Semi-DETR: Semi-Supervised Object Detection with Detection Transformers"
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
the official pytorch implementation of “Mamba-YOLO：SSMs-based for Object Detection”
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Auto detecting, masking and inpainting with detection model.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
[IEEE TGRS 2024] SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）