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Proxy and Cross-Stripes Integration Transformer for Remote Sensing Image Dehazing (TGRS'24)
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
[CVPR 2022 Oral] QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
A repository for LiDAR 3D semantic segmentation in autonomous driving scenarios. Also the official implementations of our ECCV 2022 paper (SDSeg3D) and CVPR 2023 paper (MSeg3D).
Learning A Spiking Neural Network for Efficient Image Deraining (IJCAI 2024)
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
awesome-autonomous-driving
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
ACM MM'23 | The office repository of NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
Code for WACV 2024, Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation
[CIBM 2024] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
The code for "Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters".
Deep Learning-based Image Fusion: A Survey
A collection of AWESOME things about HUGE AI models.
Medical Image Segmentation with Diffusion Model
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
Pytorch Code for the paper TransWeather - CVPR 2022
Context-aware Pretraining for Efficient Blind Image Decomposition (CVPR'23)
Official repo for Medical Image Segmentation Review: The Success of U-Net