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03/25/2023
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation (UDA) of semantic segmentation transfers ...
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10/19/2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Knowledge Distillation is becoming one of the primary trends among neura...
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10/16/2020
Learning Panoptic Segmentation from Instance Contours
Panoptic Segmentation aims to provide an understanding of background (st...
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12/23/2019
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
Automated Parking is a low speed manoeuvring scenario which is quite uns...
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05/04/2019
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of vie...
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04/15/2019
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
Multi-task learning is commonly used in autonomous driving for solving v...
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02/10/2019
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
Convolutional Neural Networks (CNNs) are successfully used for the impor...
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01/17/2019
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
Decision making in automated driving is highly specific to the environme...
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01/08/2019