Multi-branch Neural Networks for Anomaly Detection under adverse lighting and weather conditions
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Updated
Feb 14, 2022 - Python
Multi-branch Neural Networks for Anomaly Detection under adverse lighting and weather conditions
Multifog KITTI dataset
Gated Differentiable Image Processing (GDIP) for Object Detection in Adverse Conditions | Accepted at ICRA 2023
[AAAI 2023 Oral] VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
[WACV 2023] MT-DETR: Robust End-to-end Multimodal Detection with Confidence Fusion: Official Pytorch Implementation
Official Tensorflow implementation for "Adverse Weather Image Translation with Asymmetric and Uncertainty aware GAN", BMVC2021
[ITSC-2023] HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
[ACM MM'23] Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing
RnD Topic: Object Detection in Adverse Weather Conditions using Tightly-coupled Data-driven Multi-modal Sensor Fusion
(RA-L 2023) Official toolkit for the SemanticSpray Dataset.
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