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08/23/2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
Network calibration aims to accurately estimate the level of confidences...
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10/12/2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Class-incremental semantic segmentation (CISS) labels each pixel of an i...
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07/21/2022
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search
We address the task of person search, that is, localizing and re-identif...
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08/20/2021
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Video-based person re-identification (reID) aims to retrieve person vide...
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08/17/2021
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
We address the problem of visible-infrared person re-identification (VI-...
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08/16/2021
Distance-aware Quantization
We address the problem of network quantization, that is, reducing bit-wi...
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04/02/2021
Network Quantization with Element-wise Gradient Scaling
Network quantization aims at reducing bit-widths of weights and/or activ...
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07/15/2020
Learning with Privileged Information for Efficient Image Super-Resolution
Convolutional neural networks (CNNs) have allowed remarkable advances in...
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11/29/2019
Learning Semantic Correspondence Exploiting an Object-level Prior
We address the problem of semantic correspondence, that is, establishing...
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04/03/2019
