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07/17/2023
Cumulative Spatial Knowledge Distillation for Vision Transformers
Distilling knowledge from convolutional neural networks (CNNs) is a doub...
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07/17/2023
DOT: A Distillation-Oriented Trainer
Knowledge distillation transfers knowledge from a large model to a small...
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04/21/2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
Although vision transformers (ViTs) have shown promising results in vari...
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03/20/2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Semi-supervised learning (SSL) has attracted enormous attention due to i...
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10/26/2022
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles
We present a simple domain generalization baseline, which wins second pl...
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10/26/2022
Towards A Robust Deepfake Detector:Common Artifact Deepfake Detection Model
Existing deepfake detection methods perform poorly on face forgeries gen...
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07/26/2022
Efficient One Pass Self-distillation with Zipf's Label Smoothing
Self-distillation exploits non-uniform soft supervision from itself duri...
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07/20/2022
Explaining Deepfake Detection by Analysing Image Matching
This paper aims to interpret how deepfake detection models learn artifac...
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03/16/2022
Decoupled Knowledge Distillation
State-of-the-art distillation methods are mainly based on distilling dee...
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01/29/2021
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
In this paper, we study the information theoretic bounds for exact recov...
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09/18/2018
Scene Text Recognition from Two-Dimensional Perspective
Inspired by speech recognition, recent state-of-the-art algorithms mostl...
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04/11/2017
