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11/22/2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Real-world data often have a long-tailed distribution, where the number ...
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07/16/2022
MAC-DO: Charge Based Multi-Bit Analog In-Memory Accelerator Compatible with DRAM Using Output Stationary Mapping
Deep neural networks (DNN) have been proved for its effectiveness in var...
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01/25/2022
Explore and Match: End-to-End Video Grounding with Transformer
We present a new paradigm named explore-and-match for video grounding, w...
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05/25/2021
Improving Few-shot Learning with Weakly-supervised Object Localization
Few-shot learning often involves metric learning-based classifiers, whic...
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03/02/2021
Few-shot Open-set Recognition by Transformation Consistency
In this paper, we attack a few-shot open-set recognition (FSOSR) problem...
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11/30/2020
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Although supervised person re-identification (Re-ID) methods have shown ...
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08/01/2019
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
To learn target discriminative representations, using pseudo-labels is a...
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05/14/2019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
We introduce a novel unsupervised domain adaptation approach for object ...
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10/17/2017