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07/18/2023
Towards Trustworthy Dataset Distillation
Efficiency and trustworthiness are two eternal pursuits when applying de...
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03/31/2023
Adaptive Sparse Pairwise Loss for Object Re-Identification
Object re-identification (ReID) aims to find instances with the same ide...
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03/30/2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
Reliable confidence estimation for deep neural classifiers is a challeng...
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03/25/2023
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
The widespread usage of high-definition screens on edge devices stimulat...
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03/06/2023
Rethinking Confidence Calibration for Failure Prediction
Reliable confidence estimation for the predictions is important in many ...
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03/02/2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Detecting Out-of-distribution (OOD) inputs have been a critical issue fo...
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11/06/2022
Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach
Existing deep learning based HDRTV reconstruction methods assume one kin...
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04/04/2022
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
In this paper, we study the problem of stereo matching from a pair of im...
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11/09/2019
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective
Natural Language Inference (NLI) aims to determine the logic relationshi...
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04/03/2019
