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08/23/2023
A Scale-Invariant Task Balancing Approach for Multi-Task Learning
Multi-task learning (MTL), a learning paradigm to learn multiple related...
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04/15/2023
TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
Recent success of Contrastive Language-Image Pre-training (CLIP) has sho...
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02/06/2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
The core of out-of-distribution (OOD) detection is to learn the in-distr...
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03/02/2022
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment
We revisit the one- and two-stage detector distillation tasks and presen...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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09/27/2021
Deep Structured Instance Graph for Distilling Object Detectors
Effectively structuring deep knowledge plays a pivotal role in transfer ...
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08/30/2021
Exploring and Improving Mobile Level Vision Transformers
We study the vision transformer structure in the mobile level in this pa...
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04/19/2021
Distilling Knowledge via Knowledge Review
Knowledge distillation transfers knowledge from the teacher network to t...
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04/01/2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
Unsupervised representation learning with contrastive learning achieved ...
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01/13/2020