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11/07/2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results ...
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06/16/2021
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection
The availability of large-scale video action understanding datasets has ...
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03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
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11/11/2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
The efficacy of deep learning depends on large-scale data sets that have...
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03/19/2020
MOT20: A benchmark for multi object tracking in crowded scenes
Standardized benchmarks are crucial for the majority of computer vision ...
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02/25/2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Intersection over Union (IoU) is the most popular evaluation metric used...
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05/02/2018
Deep Perm-Set Net: Learn to Predict Sets with Unknown Permutation and Cardinality Using Deep Neural Networks
We present a novel approach for learning to predict sets with unknown pe...
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04/24/2018
Towards Semantic SLAM: Points, Planes and Objects
Simultaneous Localization And Mapping (SLAM) is a fundamental problem in...
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09/21/2017
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
We propose AffordanceNet, a new deep learning approach to simultaneously...
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11/20/2016
